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Kevin T. Feigelis
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2020 – today
- 2023
- [i6]Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins:
Unifying (Machine) Vision via Counterfactual World Modeling. CoRR abs/2306.01828 (2023) - [i5]Rahul 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:
Counterfactual World Modeling for Physical Dynamics Understanding. CoRR abs/2312.06721 (2023) - 2021
- [c3]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:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c2]Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins:
Flexible and Efficient Long-Range Planning Through Curious Exploration. ICML 2020: 2238-2249 - [i4]Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins:
Flexible and Efficient Long-Range Planning Through Curious Exploration. CoRR abs/2004.10876 (2020) - [i3]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:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020)
2010 – 2019
- 2018
- [c1]Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins:
Modular Continual Learning in a Unified Visual Environment. ICLR (Poster) 2018 - 2017
- [i2]Kevin T. Feigelis, Daniel L. K. Yamins:
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment. CoRR abs/1706.07147 (2017) - [i1]Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins:
Modular Continual Learning in a Unified Visual Environment. CoRR abs/1711.07425 (2017)
Coauthor Index
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