Publications
This section contains publications published by ISI over the past several decades.
2021
Learning monopoly gameplay: A hybrid model-free deep reinforcement learning and imitation learning approach
Marina Haliem, Trevor Bonjour, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat Bhargava, Mayank Kejriwal
arXiv preprint ArXiv:2103.00683, 2021
Learning Where to Cut from Edited Videos
Yuzhong Huang, Xue Bai, Oliver Wang, Fabian Caba, Aseem Agarwala
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
A continuous indicator of food environment nutritional quality
Iris C Liu, Kayla de la Haye, Andrés Abeliuk, Abigail L Horn
medRxiv.11. 24.21266841, 2021
An integrated risk and epidemiological model to estimate risk-stratified COVID-19 outcomes for Los Angeles County: March 1, 2020—March 1, 2021
Abigail L Horn, Lai Jiang, Faith Washburn, Emil Hvitfeldt, Kayla de la Haye, William Nicholas, Paul Simon, Maryann Pentz, Wendy Cozen, Neeraj Sood, David V Conti
PLoS One 16 (6), e0253549, 2021
Emerging applications of machine learning in food safety
Xiangyu Deng, Shuhao Cao, Abigail L Horn
Annual Review of Food Science and Technology 12 (1), 513-538, 2021
Investigating mobility-based fast food outlet visits as indicators of dietary intake and diet-related disease
Kayla de la Haye Abigail L. Horn, Brooke M. Bell, Bernardo Garcia Bulle Bueno, Mohsen Bahrami, Burcin Bozkaya, Yan Cui, John P. Wilson, Alex Pentland, Esteban Moro Egido
MedRxiv, 2021
Abstract meaning representation (amr) annotation release 3.0
Kevin Knight, Bianca Badarau, Laura Baranescu, Claire Bonial, Madalina Bardocz, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Tim O'Gorman, Nathan Schneider
Abacus Data Network, 2021
Bell-type games on deformable manifolds
David H Oaknin, Amir Kalev, Itay Hen
arXiv preprint arXiv:2111.14228, 2021
Quantifying the impact of precision errors on quantum approximate optimization algorithms
Gregory Quiroz, Paraj Titum, Phillip Lotshaw, Pavel Lougovski, Kevin Schultz, Eugene Dumitrescu, Itay Hen
arXiv preprint arXiv:2109.04482, 2021
Observation of many-body localization in an experimental quantum annealer
Zoe Gonzalez Izquierdo, Andreia Saguia, Tameem Albash, Itay Hen, Marcelo S Sarandy
arXiv e-prints, arXiv: 2108.06762, 2021
Determining quantum Monte Carlo simulability with geometric phases
Itay Hen
Physical Review Research 3 (2), 023080, 2021
Benchmarking State Of The Art Ising Machines
Matthew Kowalsky, Tameem Albash, Itay Hen, Daniel Lidar
APS March Meeting Abstracts 2021, E34. 002, 2021
A Filter Function Perspective on Faulty Quantum Approximate Optimization Algorithms
Gregory Quiroz, Paraj Titum, Pavel Lougovski, Kevin Schultz, Eugen Dumitrescu, Itay Hen
APS March Meeting Abstracts 2021, E34. 011, 2021
Collecting, labeling, and using networking data: the intersection of ai and networking
John Heidemann, Jelena Mirkovic, Wes Hardaker, Michalis Kallitsis
NSF Workshop on AI for Networking, 2021
Efficient Processing of Streaming Data using Multiple Abstractions
Abdul Qadeer, John Heidemann
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 157-167, 2021
Anycast in context: A tale of two systems
Thomas Koch, Ethan Katz-Bassett, John Heidemann, Matt Calder, Calvin Ardi, Ke Li
Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 398-417, 2021
Institutional privacy risks in sharing DNS data
Basileal Imana, Aleksandra Korolova, John Heidemann
Proceedings of the Applied Networking Research Workshop, 69-75, 2021
What Is The Internet? Partial Connectivity in the Internet Core
Guillermo Baltra, Tarang Saluja, Yuri Pradkin, John Heidemann
arXiv preprint arXiv:2107.11439, 2021
Workshop on overcoming measurement barriers to internet research (wombir 2021) final report
KC Claffy, David Clark, John Heidemann, Fabian Bustamante, Mattijs Jonker, Aaron Schulman, Ellen Zegura
ACM SIGCOMM Computer Communication Review 51 (3), 33-40, 2021
Chhoyhopper: A moving target defense with IPv6
ASM Rizvi, John Heidemann
arXiv preprint arXiv:2105.13592, 2021