Damian Mrowca

According to our database, Damian Mrowca authored at least 11 papers between 2015 and 2021.

Collaborative distances:

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

2021

Curiosity-driven learning for physically grounded autonomous agents.

Damian Mrowca

PhD thesis, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

CoRR, 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

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan

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

Learning Physical Graph Representations from Visual Scenes.

Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Learning to Play with Intrinsically-Motivated Self-Aware Agents.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

CoRR, 2018

Flexible neural representation for physics prediction.

Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Play With Intrinsically-Motivated, Self-Aware Agents.

Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2015

Spatial Semantic Regularisation for Large Scale Object Detection.

Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015