A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment. - Kevin T. Feigelis; Daniel L. K. Yamins (CoRR, 2017)

Modular Continual Learning in a Unified Visual Environment. - Kevin T. Feigelis; Blue Sheffer; Daniel L. K. Yamins (ICLR (Poster), 2018)

Flexible and Efficient Long-Range Planning Through Curious Exploration. - Aidan Curtis; Minjian Xin; Dilip Arumugam; Kevin T. Feigelis; Daniel Yamins (ICML, 2020)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; Elias Wang; et al. (CoRR, 2020)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

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)

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 001; Judith E. Fan; Daniel L. K. Yamins (CoRR, 2023)

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 001; Judith E. Fan; Daniel L. K. Yamins (ECCV (24), 2024)

Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals. - Stefan Stojanov; David Wendt; Seungwoo Kim; Rahul Mysore Venkatesh; Kevin T. Feigelis; Jiajun Wu 001; Daniel L. K. Yamins (CoRR, 2025)