2026

Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework

Tharindu Kumarage, Lisa Bauer, Yao Ma, Dan Rosen, Yashasvi Raghavendra Guduri, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
arXiv preprint arXiv:2604.22119, 2026

ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System

Jiacheng Liang, Yao Ma, Tharindu Kumarage, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Aram Galstyan, Charith Peris
arXiv preprint arXiv:2604.18789, 2026

2025

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

Kaleidoscopic Teaming in Multi Agent Simulations

Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2506.17514, 2025

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

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

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

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

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

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

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

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

Natural language question generation

A Kumar, Y Fung, P Natarajan, A Galstyan, H Ji
US Patent 12,456,015, 2025

Systems and methods for updating large language models

K Mishra, T Soliman, A Galstyan, A Kumar, AK Ramakrishna
US Patent 12,456,020, 2025

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

SGD-KV: Summarization Guided KV Cache Compression

Zeyu Liu, Woomin Song, Xuandi Fu, Sai Muralidhar Jayanthi, Vivek Govindan, Aram Galstyan, Sravan Babu Bodapati, Srikanth Ronanki
NeurIPS 2025 Workshop on Efficient Reasoning, 2025

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

2024

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

Leveraging LLMs for dialogue quality measurement

Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
2024

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

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

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

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

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

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

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

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

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

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

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

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

2023

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

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

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

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

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

“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

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

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

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

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

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

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

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

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

Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions

Mohammad Rostami, Aram Galstyan
Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2024

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

2023

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

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

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

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

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

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

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

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

2022

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

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

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

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

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

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
ACL 2022, 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

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

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

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

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

2021

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

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

Greg Ver Steeg, Aram Galstyan
Thirty-Fifth Conference on Neural Information Processing Systems, 2021

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

Influence decompositions for neural network attribution

Kyle Reing, Greg Ver Steeg, Aram Galstyan
International Conference on Artificial Intelligence and Statistics, 2710-2718, 2021

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

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

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

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

Layer-wise neural network compression via layer fusion

James O’Neill, Greg V Steeg, Aram Galstyan
Asian Conference on Machine Learning, 1381-1396, 2021

Cognitively inspired learning of incremental drifting concepts

Mohammad Rostami, Aram Galstyan
arXiv preprint arXiv:2110.04662, 2021

Discovering higher-order interactions through neural information decomposition

Kyle Reing, Greg Ver Steeg, Aram Galstyan
Entropy 23 (1), 79, 2021

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

2020

Explore more

Dane Thomas, Daksha Yadav, Tom Jin, Oshry Ben-Harush, Joe Standerfer, Jing Wu, Suiyao Chen, Inseok Heo, Sasha Gutfraind, Shengjie Liu, Chen Li, Bharathi Srinivasan, Xian Zhang, Michael Sharps, Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M Kübler, Rupak Vignesh Swaminathan, Thanasis Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack GM FitzGerald, Abhishek Kumar
Context, 2020

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

Robust classification under class-dependent domain shift

Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2007.05335, 2020

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

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

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

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

Likelihood ratio exponential families

Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
arXiv preprint arXiv:2012.15480, 2020

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

2019

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

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

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

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

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

Efficient covariance estimation from temporal data

Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1905.13276, 2019

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

Auto-encoding total correlation explanation

Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
The 22nd international conference on artificial intelligence and statistics …, 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

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

Fast structure learning with modular regularization

Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
Advances in Neural Information Processing Systems 32, 2019

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

2018

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

Invariant representations without adversarial training

Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems (NeurIPS), 2018

A Forest Mixture Bound for Block-Free Parallel Inference

Neal Lawton, Aram Galstyan, Greg Ver Steeg
Uncertainty in Artificial Intelligence (UAI), 2018

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

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

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

Stochastic learning of nonstationary kernels for natural language modeling

Sahil Garg, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1801.03911, 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

2017

Sifting Common Information from Many Variables.

Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
IJCAI, 2885-2892, 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

Disentangled representations via synergy minimization

Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017

2016

Situational Awareness for Social Media: Theories, Models and Algorithms

Aram Galstyan, Kristina Lerman, Eduard Hovy, Yan Liu, Ram Nevatia
2016

Emergence of leadership in communication

Armen E Allahverdyan, Aram Galstyan
PloS one 11 (8), e0159301, 2016

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

Sifting common information from many variables

Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
arXiv preprint arXiv:1606.02307, 2016

Toward interpretable topic discovery via anchored correlation explanation

Kyle Reing, David C Kale, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1606.07043, 2016

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

The information sieve

Greg Ver Steeg, Aram Galstyan
International Conference on Machine Learning, 164-172, 2016

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

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

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

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

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

Variational information maximization for feature selection

Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Advances in neural information processing systems 29, 2016

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

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

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

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

2015

Estimating mutual information by local Gaussian approximation

Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Uncertianty in Artificial Intelligence (UAI), 2015

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

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

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

Efficient estimation of mutual information for strongly dependent variables

Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Artificial intelligence and statistics, 277-286, 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

Active inference for binary symmetric hidden Markov models

Armen E Allahverdyan, Aram Galstyan
Journal of Statistical Physics 161, 452-466, 2015

2014

Opinion dynamics with confirmation bias

Armen E Allahverdyan, Aram Galstyan
PloS one 9 (7), e99557, 2014

Where and why users “check in”

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
Proc. of AAAI 14, 269-275, 2014

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

Phase transitions in community detection: A solvable toy model

Greg Ver Steeg, Cristopher Moore, Aram Galstyan, Armen Allahverdyan
Europhysics Letters 106 (4), 48004, 2014

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

Understanding confounding effects in linguistic coordination: an information-theoretic approach

Shuyang Gao, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1412.0696, 2014

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

Maximally Informative Hierarchical Representations of High-Dimensional Data

Greg Ver Steeg, Aram Galstyan
Artificial Intelligence and Statistics (AISTATS), 2014

Discovering structure in high-dimensional data through correlation explanation

Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems 27, 2014

2013

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

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

Vaccination (anti-) campaigns in social media

Marco Huesch, Greg Ver-Steeg, Aram Galstyan
Workshops at the twenty-seventh AAAI conference on artificial intelligence, 2013

Coevolutionary networks of reinforcement-learning agents

Ardeshir Kianercy, Aram Galstyan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (1 …, 2013

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

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

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

Continuous strategy replicator dynamics for multi-agent q-learning

Aram Galstyan
Autonomous agents and multi-agent systems 26, 37-53, 2013

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

2012

Adaptive agents on evolving networks.

Ardeshir Kianercy, Aram Galstyan, Armen E Allahverdyan
AAMAS, 1391-1392, 2012

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

Statistical tests for contagion in observational social network studies

Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1211.4889, 2012

2011

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

Co-evolution of selection and influence in social networks

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1106.2788, 2011

Le Chatelier's principle in replicator dynamics

Armen E Allahverdyan, Aram Galstyan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (4 …, 2011

Information Transfer in Social Media

Greg Ver Steeg, Aram Galstyan
WWW 2012, 2011

Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs

Armen Allahverdyan, Aram Galstyan
Neural Information Processing Systems (NIPS)., 2011

2010

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

Community detection with and without prior information

Armen E Allahverdyan, Greg Ver Steeg, Aram Galstyan
Europhysics Letters 90 (1), 18002, 2010

Clustering with Prior Information

Greg Ver Steeg
Relation, 2010

Replicator Dynamics of Coevolving Networks.

Aram Galstyan, Ardeshir Kianercy, Armen E Allahverdyan
2010 AAAI Fall Symposium Series, 2010

Ruling out latent homophily in social networks

Greg Ver Steeg, Aram Galstyan
NIPSWorkshop on Social Computing, 2010

2009

On maximum a posteriori estimation of hidden Markov processes

Armen Allahverdyan, Aram Galstyan
arXiv preprint arXiv:0906.1980, 2009

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

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

2008

Analysis of social voting patterns on digg

Kristina Lerman, Aram Galstyan
Proceedings of the first workshop on Online social networks, 7-12, 2008

Top-down vs bottom-up methodologies in multi-agent system design

Valentino Crespi, Aram Galstyan, Kristina Lerman
Autonomous Robots 24, 303-313, 2008

Comparing Diffusion Models for Graph–Based Semi–Supervised Learning

Aram Galstyan, Paul R Cohen
6th International Workshop on Mining and Learning with Graphs, 2008

Influence Propagation in Modular Networks.

Aram Galstyan, Paul R Cohen
AAAI Spring Symposium: Social Information Processing, 21-23, 2008

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

Cascading dynamics in modular networks

Aram Galstyan, Paul Cohen
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (3 …, 2007

Activity Spreading in Modular Networks

Aram Galstyan, Paul R Cohen
2007

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

2011

2. REPORT DATE

A Galstyan, A Bertozzi, P Cohen, G Medioni, C Papadopolous, B Rozovsky, A Tartakovsky, V Veeravalli
2011

2006

Relational classification through three-state epidemic dynamics

Aram Galstyan, Paul Cohen
2006 9th International Conference on Information Fusion, 1-7, 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

Three-State Epidemic Dynamics

Aram Galstyan, Paul R Cohen
Intelligence and Security Informatics:... NSF/NIJ Symposium, ISI …, 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

2005

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

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

Resource allocation in the grid with learning agents

Aram Galstyan, Karl Czajkowski, Kristina Lerman
Journal of Grid Computing 3, 91-100, 2005

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

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

A review of probabilistic macroscopic models for swarm robotic systems

Kristina Lerman, Alcherio Martinoli, Aram Galstyan
Swarm Robotics, 143-152, 2005

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

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

Resource allocation and emergent coordination in wireless sensor networks

Aram Galstyan, Bhaskar Krishnamachari, Kristina Lerman
AAAI Workshop on Sensor Networks, 2004

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

Mathematical analysis of multi-agent systems

Kristina Lerman, Aram Galstyan, Tad Hogg
arXiv preprint cs/0404002, 2004

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

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

2003

Agent memory and adaptation in multi-agent systems

Kristina Lerman, Aram Galstyan
Proceedings of the second international joint conference on Autonomous …, 2003

Resource allocation games with changing resource capacities

Aram Galstyan, Shashikiran Kolar, Kristina Lerman
Proceedings of the second international joint conference on Autonomous …, 2003

Threshold Behavior in a Boolean Network Model for SAT.

Alejandro Bugacov, Aram Galstyan, Kristina Lerman
IC-AI, 87-92, 2003

Macroscopic analysis of adaptive task allocation in robots

Kristina Lerman, Aram Galstyan
Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and …, 2003

2002

Mathematical model of foraging in a group of robots: Effect of interference

Kristina Lerman, Aram Galstyan
Autonomous Robots 13 (2), 127-141, 2002

Adaptive Boolean networks and minority games with time-dependent capacities

Aram Galstyan, Kristina Lerman
Physical Review E 66 (1), 015103, 2002

Minority games and distributed coordination in non-stationary environments

Aram Galstyan, Kristina Lerman
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002

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 stochastic model of platoon formation in traffic flow

A Galstyan, K Lerman
Proceedings of the TASK workshop, Santa Fe, NM, 17-19, 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

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

2000

Electronic and photonic states in inhomogeneous media

Aram Galstyan
The University of Utah, 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

1997