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Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation


Jan 28, 2022
Martin Bertran, Walter Talbott, Nitish Srivastava, Joshua Susskind

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Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models


Dec 02, 2021
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh Susskind

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* NeurIPS Deep Reinforcement Learning Workshop 2021. Code can be found at https://github.com/apple/ml-core 

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An Attention Free Transformer


May 28, 2021
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh Susskind

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Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning


May 17, 2021
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh

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* To appear in ICML 2021 

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Unconstrained Scene Generation with Locally Conditioned Radiance Fields


Apr 01, 2021
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind

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On the generalization of learning-based 3D reconstruction


Jun 27, 2020
Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M Susskind

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Capsules with Inverted Dot-Product Attention Routing


Feb 26, 2020
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov

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* ICLR 2020 

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Geometric Capsule Autoencoders for 3D Point Clouds


Dec 06, 2019
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov

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Unsupervised Learning of Video Representations using LSTMs


Jan 04, 2016
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov

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* Added link to code on github 

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