Publications

2025
Making Sense Of Distributed Representations With Activation Spectroscopy
Kyle Reing, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2501.15435,  2025
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On localizing and deleting toxic memories in large language models
Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2025
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K-Edit: Language Model Editing with Contextual Knowledge Awareness
Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
arXiv preprint arXiv:2502.10626,  2025
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Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Zheng Chen, Greg Ver Steeg, Aram Galstyan
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …,  2025
Wanda++: Pruning Large Language Models via Regional Gradients
Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
arXiv preprint arXiv:2503.04992,  2025
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KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
Elan Markowitz, Krupa Galiya, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2504.07087,  2025
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Mamba Drafters for Speculative Decoding
Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
arXiv preprint arXiv:2506.01206,  2025
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Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
arXiv preprint arXiv:2506.01215,  2025
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Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
arXiv preprint arXiv:2505.21784,  2025
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Accelerated Test-Time Scaling with Model-Free Speculative Sampling
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
arXiv preprint arXiv:2506.04708,  2025
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Kaleidoscopic Teaming in Multi Agent Simulations
Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2506.17514,  2025
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Think Clearly: Improving Reasoning via Redundant Token Pruning
Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
arXiv preprint arXiv:2507.08806,  2025
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Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A Huerta, Hao Peng
arXiv preprint arXiv:2510.05381,  2025
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SeRA: Self-reviewing and alignment of LLMs using implicit reward margins
Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan
The Thirteenth International Conference on Learning Representations,  2025
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2024
Synthetic data generation for machine learning models
R Gupta, N Mehrabi, P Goyal, K Chang, A Galstyan
US Patent App. 18/216,271,  2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton, Aram Galstyan, Greg Ver Steeg
arXiv preprint arXiv:2411.05855,  2024
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Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning
Sullam Jeoung, Goeric Huybrechts, Bhavana Ganesh, Aram Galstyan, Sravan Bodapati
arXiv preprint arXiv:2410.20252,  2024
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QuAILoRA: Quantization-Aware Initialization for LoRA
Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2410.14713,  2024
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Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
arXiv preprint arXiv:2410.05559,  2024
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Data advisor: Dynamic data curation for safety alignment of large language models
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
arXiv preprint arXiv:2410.05269,  2024
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Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
ACL'24,  2024
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Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)
Kai-Wei Chang, Anaelia Ovalle, Jieyu Zhao, Yang Trista Cao, Ninareh Mehrabi, Aram Galstyan, Jwala Dhamala, Anoop Kumar, Rahul Gupta
Proceedings of the 4th Workshop on Trustworthy Natural Language Processing …,  2024
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Tokenization matters: Navigating data-scarce tokenization for gender inclusive language technologies
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
Findings of the Association for Computational Linguistics: NAACL 2024, 1739-1756,  2024
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MICo: Preventative detoxification of large language models through inhibition control
Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan
Findings of the Association for Computational Linguistics: NAACL 2024, 1696-1703,  2024
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Agenda-Driven Question Generation: A Case Study in the Courtroom Domain
Yi Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan
Proceedings of the 2024 Joint International Conference on Computational …,  2024
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Policy learning for localized interventions from observational data
Myrl G Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg
International Conference on Artificial Intelligence and Statistics, 4456-4464,  2024
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q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics
Myrl G Marmarelis, Russell Littman, Francesca Battaglin, Donna Niedzwiecki, Alan Venook, Jose-Luis Ambite, Aram Galstyan, Heinz-Josef Lenz, Greg Ver Steeg
Communications Biology 7 (1), 400,  2024
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Ensembled prediction intervals for causal outcomes under hidden confounding
Myrl G Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter
Causal Learning and Reasoning, 18-40,  2024
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Correcting Language Model Outputs by Editing Salient Layers
Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar
Findings of the Association for Computational Linguistics: EACL 2024, 1295-1305,  2024
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Prompt perturbation consistency learning for robust language models
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
arXiv preprint arXiv:2402.15833,  2024
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Contrastive instruction tuning
Tianyi Lorena Yan, Fei Wang, James Y Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
arXiv preprint arXiv:2402.11138,  2024
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Leveraging LLMs for dialogue quality measurement
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
2024
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Believe: Belief-enhanced instruction generation and augmentation for zero-shot bias mitigation
Lisa Bauer, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024
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The amazon nova family of models: Technical report and model card
Amazon Artificial General Intelligence
2024
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2023
Are you talking to [‘xem’] or [‘x’,‘em’]? On tokenization and addressing misgendering in LLMs with pronoun tokenization parity
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
arXiv preprint arXiv:2312.11779,  2023
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Domain adaptation for sentiment analysis using robust internal representations
Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
Findings of the Association for Computational Linguistics: EMNLP 2023, 11484 …,  2023
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Jab: Joint adversarial prompting and belief augmentation
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2311.09473,  2023
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On the steerability of large language models toward data-driven personas
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta
NAACL'24,  2023
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The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
Proceedings of the 32nd ACM International Conference on Information and …,  2023
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Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
Elizabeth Haddad, Myrl G Marmarelis, Talia M Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad
International Workshop on Machine Learning in Clinical Neuroimaging, 91-101,  2023
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Flirt: Feedback loop in-context red teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2308.04265,  2023
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Partial identification of dose responses with hidden confounders
Myrl G Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg
Uncertainty in Artificial Intelligence, 1368-1379,  2023
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Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
The 61st Annual Meeting Of The Association For Computational Linguistics …,  2023
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Resolving ambiguities in text-to-image generative models
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard Zemel, Aram Galstyan, Rahul Gupta
Proceedings of the 61st Annual Meeting of the Association for Computational …,  2023
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“I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …,  2023
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Multi-task knowledge enhancement for zero-shot and multi-domain recommendation in an AI assistant application
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Tony Chen, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2306.06302,  2023
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Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Findings of the Association for Computational Linguistics: ACL 2023,  2023
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History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
Findings of the Association for Computational Linguistics: ACL 2023,  2023
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ParaAMR: A large-scale syntactically diverse paraphrase dataset by AMR back-translation
Kuan-Hao Huang, Varun Iyer, I Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
Proceedings of the 61st Annual Meeting of the Association for Computational …,  2023
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Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
Findings of the Association for Computational Linguistics: ACL 2023,  2023
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Graph meets LLM: A novel approach to collaborative filtering for robust conversational understanding
Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan
arXiv preprint arXiv:2305.14449,  2023
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Measuring and mitigating local instability in deep neural networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
arXiv preprint arXiv:2305.10625,  2023
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ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
Proceedings of the 61st Annual Meeting of the Association for Computational …,  2023
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Incorporating Fairness in Large Scale NLU Systems
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard Zemel, Prem Natarajan
Proceedings of the Sixteenth ACM International Conference on Web Search and …,  2023
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Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
Mohammad Rostami, Aram Galstyan
Thirty-Seventh AAAI Conference on Artificial Intelligence,  2023
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An analysis of the effects of decoding algorithms on fairness in open-ended language generation
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022 IEEE Spoken Language Technology Workshop (SLT), 655-662,  2023
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Hybrid forecasting of geopolitical events
Daniel M Benjamin, Fred Morstatter, Ali E Abbas, Andres Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, KSM Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A Szekely, Michael D Ward, Aram Galstyan
AI Magazine 44, 112-128,  2023
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Online continual learning for progressive distribution shift (OCL-PDS): A practitioner’s perspective
Runtian Zhai, Stefan Schroedl, Aram Galstyan, Anoop Kumar, Greg Ver Steeg, Pradeep Natarajan
2023
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Zero-shot cross-lingual sequence tagging as Seq2Seq generation for joint intent classification and slot filling
Fei Wang, Kuan-Hao Huang, Anoop Kumar, Aram Galstyan, Greg Ver Steeg, Kai-Wei Chang
2023
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2022
Unsupervised syntactically controlled paraphrase generation with Abstract Meaning Representations
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
arXiv preprint arXiv:2211.00881,  2022
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Formal limitations of sample-wise information-theoretic generalization bounds
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
2022 IEEE Information Theory Workshop (ITW), 440-445,  2022
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Identifying geopolitical event precursors using attention-based LSTMs
KSM Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
Frontiers in Artificial Intelligence 5, 893875,  2022
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Inferring topological transitions in pattern-forming processes with self-supervised learning
Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Remi Dingreville
npj Computational Materials 8 (1), 205,  2022
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StATIK: Structure and text for inductive knowledge graph completion
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
Findings of the association for computational linguistics: NAACL 2022, 604-615,  2022
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Temporal generalization for spoken language understanding
Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
Proceedings of the 2022 Conference of the North American Chapter of the …,  2022
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Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)
Apurv Verma, Yada Pruksachatkun, Kai-Wei Chang, Aram Galstyan, Jwala Dhamala, Yang Trista Cao
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing …,  2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Proceedings of the 2022 Conference of the North American Chapter of the …,  2022
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A metric space for point process excitations
Myrl G Marmarelis, Greg Ver Steeg, Aram Galstyan
Journal of Artificial Intelligence Research 73, 1323–1353-1323–1353,  2022
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On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
arXiv preprint arXiv:2203.13928,  2022
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Mitigating gender bias in distilled language models via counterfactual role reversal
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2203.12574,  2022
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DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
ACL 2022,  2022
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Learning under label noise for robust spoken language understanding systems
Anoop Kumar, Pankaj Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan
2022
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Failure modes of domain generalization algorithms
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …,  2022
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2021
Implicit svd for graph representation learning
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems 34, 8419-8431,  2021
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Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems 34, 24670-24682,  2021
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q-paths: Generalizing the geometric annealing path using power means
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
Uncertainty in Artificial Intelligence, 1938-1947,  2021
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Bin2vec: learning representations of binary executable programs for security tasks
Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan
Cybersecurity 4, 1-14,  2021
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Layer-wise neural network compression via layer fusion
James O’Neill, Greg V Steeg, Aram Galstyan
Asian Conference on Machine Learning, 1381-1396,  2021
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Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …,  2021
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NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding
Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross King, Sophia Ananiadou, Annika M Schoene, Maolin Li, Fenia Christopoulou, José Luis Ambite, Joel Matthew, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, Edgar Wingender, Aram Galstyan, Xin Gao, Brendan Chambers, Weidi Pan, Bohdan B Khomtchouk, James A Evans, Andrey Rzhetsky
NPJ systems biology and applications 7 (1), 38,  2021
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Cognitively inspired learning of incremental drifting concepts
Mohammad Rostami, Aram Galstyan
arXiv preprint arXiv:2110.04662,  2021
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Attributing fair decisions with attention interventions
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2109.03952,  2021
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A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
ACM computing surveys (CSUR) 54 (6), 1-35,  2021
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Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation
Sarik Ghazarian, Zixi Liu, Akash SM, Ralph Weischedel, Aram Galstyan, Nanyun Peng
Proceedings of the 2021 Conference of the North American Chapter of the …,  2021
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Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg, Aram Galstyan
Thirty-Fifth Conference on Neural Information Processing Systems,  2021
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Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs
Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan
arXiv preprint arXiv:2104.10232,  2021
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Influence decompositions for neural network attribution
Kyle Reing, Greg Ver Steeg, Aram Galstyan
International Conference on Artificial Intelligence and Statistics, 2710-2718,  2021
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Identifying and analyzing cryptocurrency manipulations in social media
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
IEEE Transactions on Computational Social Systems 8 (3), 607-617,  2021
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A survey of human judgement and quantitative forecasting methods
Maximilian Zellner, Ali E Abbas, David V Budescu, Aram Galstyan
Royal Society open science 8 (2), 201187,  2021
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Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
ICLR,  2021
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Discol: Toward engaging dialogue systems through conversational line guided response generation
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
NAACL-HLT'21 (Demo Track),  2021
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Discovering higher-order interactions through neural information decomposition
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Entropy 23 (1), 79,  2021
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Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
AAAI'21,  2021
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Partner-assisted learning for few-shot image classification
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
Proceedings of the IEEE/CVF International Conference on Computer Vision …,  2021
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Muscle: strengthening semi-supervised learning via concurrent unsupervised learning using mutual information maximization
Hanchen Xie, Mohamed E Hussein, Aram Galstyan, Wael Abd-Almageed
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …,  2021
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2020
Likelihood ratio exponential families
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
arXiv preprint arXiv:2012.15480,  2020
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Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
International Conference on Machine Learning, 4071-4081,  2020
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One-shot learning for temporal knowledge graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
Automayed Knowledge Base Construction, AKBC 2021,  2020
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Quantifying machine influence over human forecasters
Andrés Abeliuk, Daniel M Benjamin, Fred Morstatter, Aram Galstyan
Scientific reports 10 (1), 15940,  2020
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Stacking models for nearly optimal link prediction in complex networks
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M Airoldi, Aaron Clauset
Proceedings of the National Academy of Sciences 117 (38), 23393-23400,  2020
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Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms
Akira Matsui, Emilio Ferrara, Fred Morstatter, Andrés Abeliuk, Aram Galstyan
arXiv preprint arXiv:2009.01966,  2020
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Man is to person as woman is to location: Measuring gender bias in named entity recognition
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan
Proceedings of the 31st ACM conference on Hypertext and Social Media, 231-232,  2020
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Robust classification under class-dependent domain shift
Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2007.05335,  2020
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All in the exponential family: Bregman duality in thermodynamic variational inference
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
ICML 2020,  2020
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Forecasting violent events in the middle east and north africa using the hidden markov model and regularized autoregressive models
KSM Tozammel Hossain, Shuyang Gao, Brendan Kennedy, Aram Galstyan, Prem Natarajan
The Journal of Defense Modeling and Simulation 17 (3), 269-283,  2020
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ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
ACL 2021,  2020
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Graph embedding with personalized context distribution
Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan
Companion Proceedings of the Web Conference 2020, 655-661,  2020
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Modeling dialogues with hashcode representations: A nonparametric approach
Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3970-3979,  2020
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Predictive engagement: An efficient metric for automatic evaluation of open-domain dialogue systems
Sarik Ghazarian, Ralph Weischedel, Aram Galstyan, Nanyun Peng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7789-7796,  2020
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Anchor attention for hybrid crowd forecasts aggregation
Yuzhong Huang, Andres Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan
arXiv preprint arXiv:2003.12447,  2020
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2019
Maximizing multivariate information with error-correcting codes
Kyle Reing, Greg Ver Steeg, Aram Galstyan
IEEE Transactions on Information Theory 66 (5), 2683-2695,  2019
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Nearly-unsupervised hashcode representations for biomedical relation extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A Cecchi
Proceedings of the 2019 conference on empirical methods in natural language …,  2019
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Deep structured neural network for event temporal relation extraction
Rujun Han, I Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng
arXiv preprint arXiv:1909.10094,  2019
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Debiasing community detection: the importance of lowly connected nodes
Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan
Proceedings of the 2019 IEEE/ACM international conference on advances in …,  2019
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BioRelEx 1.0: Biological relation extraction benchmark
Hrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan, Tigran Galstyan, Anna Hakobyan, Arsen Arakelyan, Andrey Rzhetsky, Aram Galstyan
Proceedings of the 18th BioNLP Workshop and Shared Task, 176-190,  2019
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Kernelized hashcode representations for relation extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6431-6440,  2019
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Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, Greg Ver Steeg, Aram Galstyan
Scientific data 6 (1), 96,  2019
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Tensor-based method for temporal geopolitical event forecasting
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Tozammel Hossain, Fred Morstatter, Aram Galstyan
ICML Workshop on Learning and Reasoning with Graph-Structured …,  2019
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Efficient covariance estimation from temporal data
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1905.13276,  2019
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Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
international conference on machine learning, 21-29,  2019
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Coupled clustering of time-series and networks
Yike Liu, Linhong Zhu, Pedro Szekely, Aram Galstyan, Danai Koutra
Proceedings of the 2019 SIAM International Conference on Data Mining, 531-539,  2019
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Better automatic evaluation of open-domain dialogue systems with contextualized embeddings
Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng
arXiv preprint arXiv:1904.10635,  2019
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Auto-encoding total correlation explanation
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
The 22nd international conference on artificial intelligence and statistics …,  2019
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SAGE: A hybrid geopolitical event forecasting system
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andres Abeliuk, Mehrnoosh Mirtaheri, KSM Tozammel Hossain, Pedro Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennet, David Budescu, Mark Himmelstein, Michael Ward, Andreas Beger, Michele Catasta, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali Abbas
28th International Joint Conference on Artificial Intelligence, IJCAI 2019 …,  2019
Fast structure learning with modular regularization
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
Advances in Neural Information Processing Systems 32,  2019
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Exact rate-distortion in autoencoders via echo noise
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
Advances in neural information processing systems 32,  2019
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2018
Sensemaking Research Roadmap
KP Subbalakshmi, Aram Galstyan, Rama Chellappa, Charles Clancy
Stevens Institute of Technology Hoboken,  2018
Highly accurate link prediction in networks using stacked generalization
Amir Ghasemian, AG Galstyan, Aaron Clauset
WSDM,  2018
Adaptive decision making via entropy minimization
Armen E Allahverdyan, Aram Galstyan, Ali E Abbas, Zbigniew R Struzik
International Journal of Approximate Reasoning 103, 270-287,  2018
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Uncovering biologically coherent peripheral signatures of health and risk for Alzheimer’s disease in the aging brain
Brandalyn C Riedel, Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Lauren E Salminen, Aram Galstyan, Paul M Thompson, Alzheimer’s Disease Neuroimaging Initiative
Frontiers in aging neuroscience 10, 390,  2018
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Dialogue modeling via hash functions
Sahil Garg, Guillermo Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
Linguistic and Cognitive Approaches To Dialog Agents Workshop,  2018
Embedding networks with edge attributes
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
Proceedings of the 29th on Hypertext and Social Media, 38-42,  2018
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Mining and forecasting career trajectories of music artists
Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan
Proceedings of the 29th on Hypertext and Social Media, 11-19,  2018
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Invariant representations without adversarial training
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems (NeurIPS),  2018
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A Forest Mixture Bound for Block-Free Parallel Inference
Neal Lawton, Aram Galstyan, Greg Ver Steeg
Uncertainty in Artificial Intelligence (UAI),  2018
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Modeling psychotherapy dialogues with kernelized hashcode representations: A nonparametric information-theoretic approach
Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1804.10188,  2018
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From Alt-Right to Alt-Rechts Twitter Analysis of the 2017 German Federal Election
Fred Morstatter, Yunqiu Shao, Aram Galstyan, Shanika Karunasekera
Companion Proceedings of the The Web Conference 2018, 621-628,  2018
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Stochastic learning of nonstationary kernels for natural language modeling
Sahil Garg, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1801.03911,  2018
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From: Twitter Analysis of the 2017 German Federal Election
Fred Morstatter, Yunqiu Shao, Aram Galstyan, Shanika Karunasekera
WWW (Companion Volume),  2018
2017
Unifying Local and Global Change Detection in Dynamic Networks
Wenzhe Li, Dong Guo, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1710.03035,  2017
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Disentangled representations via synergy minimization
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
2017 55th Annual Allerton Conference on Communication, Control, and …,  2017
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Sifting Common Information from Many Variables.
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
IJCAI, 2885-2892,  2017
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2016
Emergence of leadership in communication
Armen E Allahverdyan, Aram Galstyan
PloS one 11 (8), e0159301,  2016
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Scalable temporal latent space inference for link prediction in dynamic social networks
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
IEEE Transactions on Knowledge and Data Engineering 28 (10), 2765-2777,  2016
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Toward interpretable topic discovery via anchored correlation explanation
Kyle Reing, David C Kale, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1606.07043,  2016
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The DARPA Twitter bot challenge
Venkatramanan S Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer
Computer 49 (6), 38-46,  2016
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The information sieve
Greg Ver Steeg, Aram Galstyan
International Conference on Machine Learning, 164-172,  2016
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Sifting common information from many variables
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
arXiv preprint arXiv:1606.02307,  2016
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Using social media, online social networks, and internet search as platforms for public health interventions: a pilot study
Marco D Huesch, Aram Galstyan, Michael K Ong, Jason N Doctor
Health services research 51, 1273-1290,  2016
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Latent space model for multi-modal social data
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan
Proceedings of the 25th international conference on world wide web, 447-458,  2016
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Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly
Sarah K Madsen, Greg Ver Steeg, Madelaine Daianu, Adam Mezher, Neda Jahanshad, Talia M Nir, Xue Hua, Boris A Gutman, Aram Galstyan, Paul M Thompson
Medical Imaging 2016: Image Processing 9784, 281-286,  2016
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Extracting biomolecular interactions using semantic parsing of biomedical text
Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1),  2016
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Variational information maximization for feature selection
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Advances in neural information processing systems 29,  2016
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Unsupervised entity resolution on multi-type graphs
Linhong Zhu, Majid Ghasemi-Gol, Pedro Szekely, Aram Galstyan, Craig A Knoblock
The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe …,  2016
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Information-theoretic clustering of neuroimaging metrics related to cognitive decline in the elderly
Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M Thompson
Medical Computer Vision: Algorithms for Big Data: International Workshop …,  2016
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Modeling Concept Dependencies in a Scientific Corpus
Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, Gully Burns
Proc. of the Association for Computational Linguistics (ACL),  2016
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Predicting online extremism, content adopters, and interaction reciprocity
Emilio Ferrara, Wen-Qiang Wang, Onur Varol, Alessandro Flammini, Aram Galstyan
Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …,  2016
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Situational Awareness for Social Media: Theories, Models and Algorithms
Aram Galstyan, Kristina Lerman, Eduard Hovy, Yan Liu, Ram Nevatia
2016
Inferring Structure and Forecasting Dynamics on Evolving Networks
Jeffrey P Brantingham, Ronald Breiger, Yu-han Chang, Aram Galstyan, Kristina Lerman, Michael Mcbride, Igor Mezic, Brinton Milward, Clayton Morrison, Allon Percus, George E Tita, Andrea L Bertozzi
2016
2015
Memory-induced mechanism for self-sustaining activity in networks
Armen E Allahverdyan, G Ver Steeg, Aram Galstyan
Physical Review E 92 (6), 062824,  2015
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Active inference for binary symmetric hidden Markov models
Armen E Allahverdyan, Aram Galstyan
Journal of Statistical Physics 161, 452-466,  2015
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Estimating mutual information by local Gaussian approximation
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Uncertianty in Artificial Intelligence (UAI),  2015
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Outreach Using Social Media Campaigns: Micro-Education for $1 per Patient
Marco Huesch, Jason Doctor, Aram Galstyan
2015 Annual Research Meeting,  2015
Using Online Social Media and Social Networks as a Public Health Intervention
Marco Huesch, Jason N Doctor, Aram Galstyan
CESR-Schaeffer Working Paper,  2015
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Learning bounded rationality models of the adversary in repeated Stackelberg Security Games
Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, Arunesh Sinha, Aram Galstyan, Bo An, Milind Tambe
Retrieved from Nanyang Technological University: http://www3. ntu. edu. sg …,  2015
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Predicting Cognitive Decline with Information-Theoretic Clustering of Brain MRI and Blood Tests
Sarah K Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M Nir, Xue Hua, Boris A Gutman, Aram Galstyan, Paul M Thompson
BIOLOGICAL PSYCHIATRY 77 (9), 96S-96S,  2015
Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly
Sarah K Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M Nir, Xue Hua, Boris A Gutman, Aram Galstyan, Paul M Thompson
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 980-984,  2015
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Efficient estimation of mutual information for strongly dependent variables
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Artificial intelligence and statistics, 277-286,  2015
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2014
Understanding confounding effects in linguistic coordination: an information-theoretic approach
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1412.0696,  2014
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Mixed Membership Blockmodels for Dynamic Networks with Feedback.
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
Handbook of mixed membership models and their applications, 527-545,  2014
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Maximally Informative Hierarchical Representations of High-Dimensional Data
Greg Ver Steeg, Aram Galstyan
Artificial Intelligence and Statistics (AISTATS),  2014
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Opinion dynamics with confirmation bias
Armen E Allahverdyan, Aram Galstyan
PloS one 9 (7), e99557,  2014
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Where and why users “check in”
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
Proc. of AAAI 14, 269-275,  2014
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Tripartite graph clustering for dynamic sentiment analysis on social media
Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman
Proceedings of the 2014 ACM SIGMOD international conference on Management of …,  2014
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Phase transitions in community detection: A solvable toy model
Greg Ver Steeg, Cristopher Moore, Aram Galstyan, Armen Allahverdyan
Europhysics Letters 106 (4), 48004,  2014
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Modeling temporal activity patterns in dynamic social networks
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G Tartakovsky
IEEE Transactions on Computational Social Systems 1 (1), 89-107,  2014
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Discovering structure in high-dimensional data through correlation explanation
Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems 27,  2014
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2013
Hidden Markov models for the activity profile of terrorist groups
Vasanthan Raghavan, Aram Galstyan, Alexander G Tartakovsky
The Annals of Applied Statistics, 2402-2430,  2013
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Activation Cascades in Structured Populations
Aram Galstyan
Handbook of Human Computation, 779-789,  2013
Demystifying information-theoretic clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo
ICML,  2013
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Socially relevant venue clustering from check-in data
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
KDD Workshop on Mining and Learning with Graphs,  2013
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Coupled hidden markov models for user activity in social networks
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G Tartakovsky
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6,  2013
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Coevolutionary networks of reinforcement-learning agents
Ardeshir Kianercy, Aram Galstyan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (1 …,  2013
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Vaccination (anti-) campaigns in social media
Marco Huesch, Greg Ver-Steeg, Aram Galstyan
Workshops at the twenty-seventh AAAI conference on artificial intelligence,  2013
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Latent self-exciting point process model for spatial-temporal networks
Yoon-Sik Cho, Aram Galstyan, P Jeffrey Brantingham, George Tita
arXiv preprint arXiv:1302.2671,  2013
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Sentiment prediction using collaborative filtering
Jihie Kim, Jaebong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram Galstyan
Proceedings of the International AAAI Conference on Web and Social Media 7 …,  2013
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Continuous strategy replicator dynamics for multi-agent q-learning
Aram Galstyan
Autonomous agents and multi-agent systems 26, 37-53,  2013
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2012
Statistical tests for contagion in observational social network studies
Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1211.4889,  2012
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Information-Theoretic Measures of Influence Based on Content Dynamics
Greg Ver Steeg, Aram Galstyan
WSDM 2013,  2012
Adaptive agents on evolving networks.
Ardeshir Kianercy, Aram Galstyan, Armen E Allahverdyan
AAMAS, 1391-1392,  2012
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Dynamics of Boltzmann learning in two-player two-action games
Ardeshir Kianercy, Aram Galstyan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (4 …,  2012
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Generative models for spatial-temporal processes with applications to predictive criminology
Y Cho, Aram Galstyan, Jeff Brantingham, George Tita
2012
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2011
2. Report Date
A Galstyan, A Bertozzi, P Cohen, G Medioni, C Papadopolous, B Rozovsky, A Tartakovsky, V Veeravalli
2011
View Paper
Le Chatelier's principle in replicator dynamics
Armen E Allahverdyan, Aram Galstyan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (4 …,  2011
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Information Transfer in Social Media
Greg Ver Steeg, Aram Galstyan
WWW 2012,  2011
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Statistical mechanics of semi-supervised clustering in sparse graphs
Greg Ver Steeg, Aram Galstyan, Armen E Allahverdyan
Journal of Statistical Mechanics: Theory and Experiment 2011 (08), P08009,  2011
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Co-evolution of selection and influence in social networks
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1106.2788,  2011
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A Sequence of Relaxations Constraining Hidden Variable Models
Greg Ver Steeg, Aram Galstyan
2011
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Stochastic models of social media dynamics
Kristina Lerman, Aram Galstyan, Greg Ver Steeg, T Hogg
5th International AAAI Conference on Weblogs and Social Media (ICWSM …,  2011
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Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan, Aram Galstyan
Neural Information Processing Systems (NIPS).,  2011
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Social mechanics: An empirically grounded science of social media
Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg
Proceedings of the International AAAI Conference on Web and Social Media 5 …,  2011
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2010
Replicator Dynamics of Coevolving Networks.
Aram Galstyan, Ardeshir Kianercy, Armen E Allahverdyan
2010 AAAI Fall Symposium Series,  2010
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Towards modeling social and content dynamics in discussion forums
Jihie Kim, Aram Galstyan
Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a …,  2010
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Community detection with and without prior information
Armen E Allahverdyan, Greg Ver Steeg, Aram Galstyan
Europhysics Letters 90 (1), 18002,  2010
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Ruling out latent homophily in social networks
Greg Ver Steeg, Aram Galstyan
NIPSWorkshop on Social Computing,  2010
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Clustering with Prior Information
Greg Ver Steeg
Relation,  2010
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2009
Tentacles: Self-configuring robotic radio networks in unknown environments
Harris Chi Ho Chiu, Bo Ryu, Hua Zhu, Pedro Szekely, Rajiv Maheswaran, Craig Rogers, Aram Galstyan, Behnam Salemi, Mike Rubenstein, Wei-Min Shen
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …,  2009
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On maximum a posteriori estimation of hidden Markov processes
Armen Allahverdyan, Aram Galstyan
arXiv preprint arXiv:0906.1980,  2009
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Maximizing influence propagation in networks with community structure
Aram Galstyan, Vahe Musoyan, Paul Cohen
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (5 …,  2009
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2008
Analysis of social voting patterns on digg
Kristina Lerman, Aram Galstyan
Proceedings of the first workshop on Online social networks, 7-12,  2008
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Top-down vs bottom-up methodologies in multi-agent system design
Valentino Crespi, Aram Galstyan, Kristina Lerman
Autonomous Robots 24, 303-313,  2008
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Comparing Diffusion Models for Graph–Based Semi–Supervised Learning
Aram Galstyan, Paul R Cohen
6th International Workshop on Mining and Learning with Graphs,  2008
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Influence Propagation in Modular Networks.
Aram Galstyan, Paul R Cohen
AAAI Spring Symposium: Social Information Processing, 21-23,  2008
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2007
Empirical comparison of “hard” and “soft” label propagation for relational classification
Aram Galstyan, Paul R Cohen
International Conference on Inductive Logic Programming, 98-111,  2007
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Cascading dynamics in modular networks
Aram Galstyan, Paul Cohen
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (3 …,  2007
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Activity Spreading in Modular Networks
Aram Galstyan, Paul R Cohen
2007
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Detecting and tracking hostile plans in the Hats world
Aram Galstyan, Sinjini Mitra, Paul Cohen
AAAI Workshop on Plan, Activity, and Intent Recognition, PAIR–07,  2007
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2006
Analysis of dynamic task allocation in multi-robot systems
Kristina Lerman, Chris Jones, Aram Galstyan, Maja J Matarić
The International Journal of Robotics Research 25 (3), 225-241,  2006
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Part I-Long Papers-Intelligence Analysis and Knowledge Discovery-Iterative Relational Classification Through Three-State Epidemic Dynamics
Aram Galstyan, Paul R Cohen
Lecture Notes in Computer Science 3975, 83-92,  2006
Iterative relational classification through three–state epidemic dynamics
Aram Galstyan, Paul R Cohen
Intelligence and Security Informatics: IEEE International Conference on …,  2006
The jean system
Yu-Han Chang, Clayton T Morrison, Wesley Kerr, Aram Galstyan, Paul R Cohen, Carole Beal, Robert St Amant, Tim Oates
Proceedings of the Fifth International Conference on Development and …,  2006
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2005
Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers.
Aram Galstyan, Paul R Cohen
IJCAI, 708-713,  2005
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Comparative analysis of top-down and bottom-up methodologies for multi-agent system design
Valentino Crespi, Aram Galstyan, Kristina Lerman
Proceedings of the fourth international joint conference on Autonomous …,  2005
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Modeling and mathematical analysis of swarms of microscopic robots
Aram Galstyan, Tad Hogg, Kristina Lerman
Proceedings 2005 IEEE Swarm Intelligence Symposium. SIS 2005., 201-208,  2005
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Resource allocation in the grid with learning agents
Aram Galstyan, Karl Czajkowski, Kristina Lerman
Journal of Grid Computing 3, 91-100,  2005
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Population generation for large-scale simulation
Andrew C Hannon, Gary King, Clayton Morrison, Aram Galstyan, Paul Cohen
Enabling Technologies for Simulation Science IX 5805, 116-127,  2005
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A Systematic Approach to Composing and Optimizing Application Workflows
E Deelman, A Galstyan, Y Gil, M Hall, K Lerman, A Nakano, P Vashista, J Saltz
Proceedings of Workshop on Patterns in High Performance Computing,  2005
Mathematical modeling of large multi-agent systems
Kristina Lerman, Maja Mataric, Aram Galstyan
CALIFORNIA UNIV LOS ANGELES, Tech. Rep,  2005
Identifying covert sub-networks through iterative node classification
Aram Galstyan, Paul R Cohen
Proceedings of the First International Conference on Intelligence Analysis,  2005
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A review of probabilistic macroscopic models for swarm robotic systems
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
Swarm Robotics, 143-152,  2005
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2004
Analysis of a stochastic model of adaptive task allocation in robots
Aram Galstyan, Kristina Lerman
International Workshop on Engineering Self-Organising Applications, 167-179,  2004
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Resource allocation and emergent coordination in wireless sensor networks
Aram Galstyan, Bhaskar Krishnamachari, Kristina Lerman
AAAI Workshop on Sensor Networks,  2004
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Hormone-inspired self-organization and distributed control of robotic swarms
Wei-Min Shen, Peter Will, Aram Galstyan, Cheng-Ming Chuong
Autonomous Robots 17 (1), 93-105,  2004
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Distributed online localization in sensor networks using a moving target
Aram Galstyan, Bhaskar Krishnamachari, Kristina Lerman, Sundeep Pattem
Proceedings of the 3rd international symposium on Information processing in …,  2004
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Mathematical analysis of multi-agent systems
Kristina Lerman, Aram Galstyan, Tad Hogg
arXiv preprint cs/0404002,  2004
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Two paradigms for the design of artificial collectives
Kristina Lerman, Aram Galstyan
Collectives and the design of complex systems, 231-256,  2004
Automatically modeling group behavior of simple agents
Kristina Lerman, Aram Galstyan
Agent Modeling Workshop, AAMAS-04, New York, NY,  2004
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Resource allocation in the grid using reinforcement learning
Aram Galstyan, Karl Czajkowski, Kristina Lerman
Proceedings of the Third International Joint Conference on Autonomous Agents …,  2004
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2003
Macroscopic analysis of adaptive task allocation in robots
Kristina Lerman, Aram Galstyan
Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and …,  2003
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Agent memory and adaptation in multi-agent systems
Kristina Lerman, Aram Galstyan
Proceedings of the second international joint conference on Autonomous …,  2003
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Resource allocation games with changing resource capacities
Aram Galstyan, Shashikiran Kolar, Kristina Lerman
Proceedings of the second international joint conference on Autonomous …,  2003
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Threshold Behavior in a Boolean Network Model for SAT.
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
IC-AI, 87-92,  2003
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2002
Mathematical model of foraging in a group of robots: Effect of interference
Kristina Lerman, Aram Galstyan
Autonomous Robots 13 (2), 127-141,  2002
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Minority games and distributed coordination in non-stationary environments
Aram Galstyan, Kristina Lerman
Proceedings of the 2002 International Joint Conference on Neural Networks …,  2002
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PART 2-RAPID COMMUNICATIONS-General methods of statistical physics-Adaptive Boolean networks and minority games with time-dependent capacities
Aram Galstyan, Kristina Lerman
Physical Review-Section E-Statistical Nonlinear and Soft Matter Physics 66 …,  2002
2001
A macroscopic analytical model of collaboration in distributed robotic systems
Kristina Lerman, Aram Galstyan, Alcherio Martinoli, Auke Ijspeert
Artificial Life 7 (4), 375-393,  2001
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A stochastic model of platoon formation in traffic flow
A Galstyan, K Lerman
Proceedings of the TASK workshop, Santa Fe, NM, 17-19,  2001
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Phase-slip induced distributed feedback resonator modes with tilted modulation
AG Galstyan, ME Raikh, ZV Vardeny
Synthetic metals 116 (1-3), 493-496,  2001
Dipole radiation from semi-infinite photonic crystal
AG Galstyan, ME Raikh, ZV Vardeny
Synthetic metals 116 (1-3), 465-467,  2001
A general methodology for mathematical analysis of multi-agent systems
Kristina Lerman, Aram Galstyan
ISI-TR-529, USC Information Sciences Institute, Marina del Rey, CA,  2001
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2000
Electronic and photonic states in inhomogeneous media
Aram Galstyan
The University of Utah,  2000
Electronic structure: Wide-band, narrow-band, and strongly correlated systems-Emission spectrum of a dipole in a semi-infinite periodic dielectric structure: Effect of the boundary
AG Galstyan, ME Raikh, ZV Vardeny
Physical Review-Section B-Condensed Matter 62 (3), 1780-1786,  2000
1998
Density of States of 2D Electrons with Strong Spin-Orbit Coupling
Aram Galstyan, Mikhail Raikh
APS Four Corners Section Meeting Abstracts, A3. 04,  1998
Disorder-induced broadening of the density of states for two-dimensional electrons with strong spin-orbit coupling
AG Galstyan, ME Raikh
Physical Review B 58 (11), 6736,  1998
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1997
Localization and conductance fluctuations in the integer quantum Hall effect: Real-space renormalization-group approach
AG Galstyan, ME Raikh
Physical Review B 56 (3), 1422,  1997
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