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PeRFception: Perception using Radiance Fields


Aug 24, 2022
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

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* Project Page: https://postech-cvlab.github.io/PeRFception/ 

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FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators


Aug 08, 2022
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar

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Neural Scene Representation for Locomotion on Structured Terrain


Jun 16, 2022
David Hoeller, Nikita Rudin, Christopher Choy, Animashree Anandkumar, Marco Hutter

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Quantification of Robotic Surgeries with Vision-Based Deep Learning


May 06, 2022
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung

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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators


Feb 22, 2022
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar

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Reinforcement Learning in Factored Action Spaces using Tensor Decompositions


Oct 27, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

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* 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021) 

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Self-Calibrating Neural Radiance Fields


Sep 02, 2021
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

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* Accepted in ICCV21, Project Page: https://postech-cvlab.github.io/SCNeRF/ 

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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

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* 38th International Conference on Machine Learning, PMLR 139, 2021 

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition


May 18, 2021
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar

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