Kevin T. Feigelis

According to our database, Kevin T. Feigelis authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

World Modeling with Probabilistic Structure Integration.

Klemen Kotar, Wanhee Lee, Rahul Mysore Venkatesh, Honglin Chen, Daniel Bear, Jared Watrous, Simon Kim, Khai Loong Aw, Lilian Naing Chen, Stefan Stojanov, Kevin T. Feigelis, Imran Thobani, Alex Durango, Khaled Jedoui, Atlas Kazemian, Dan Yamins

CoRR, September, 2025

Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals.

Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Mysore Venkatesh, Kevin T. Feigelis, Jiajun Wu, Daniel L. K. Yamins

CoRR, March, 2025

2024

Understanding Physical Dynamics with Counterfactual World Modeling.

Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Counterfactual World Modeling for Physical Dynamics Understanding.

Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins

CoRR, 2023

Unifying (Machine) Vision via Counterfactual World Modeling.

Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Mysore Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins

CoRR, 2023

2021

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

CoRR, 2020

Flexible and Efficient Long-Range Planning Through Curious Exploration.

Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Modular Continual Learning in a Unified Visual Environment.

Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment.

Kevin T. Feigelis, Daniel L. K. Yamins

CoRR, 2017