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f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation


Oct 10, 2022
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind

* 28 pages, 21 figures, work in progress 

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GAUDI: A Neural Architect for Immersive 3D Scene Generation


Jul 27, 2022
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh Susskind

* Project webpage: https://github.com/apple/ml-gaudi 

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Efficient Representation Learning via Adaptive Context Pooling


Jul 05, 2022
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh Susskind

* ICML 2022 

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Learning Representation from Neural Fisher Kernel with Low-rank Approximation


Feb 04, 2022
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh 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

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

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Regularized Training of Nearest Neighbor Language Models


Sep 16, 2021
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh Susskind


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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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MetricOpt: Learning to Optimize Black-Box Evaluation Metrics


Apr 21, 2021
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh Susskind

* CVPR 2021 (Oral), Supplementary Materials added 

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Equivariant Neural Rendering


Jun 13, 2020
Emilien Dupont, Miguel Angel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh Susskind, Qi Shan

* ICML 2020 camera ready 

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Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment


May 15, 2019
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Shih-Yu Sun, Carlos Guestrin, Josh Susskind

* Accepted to ICML 2019 

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