Talbott, Walter

8 publications

ICLR 2024 Large Language Models as Generalizable Policies for Embodied Tasks Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, Alexander T Toshev

ICML 2022 Efficient Representation Learning via Adaptive Context Pooling Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M Susskind

NeurIPS 2022 GAUDI: A Neural Architect for Immersive 3D Scene Generation Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua Susskind

ICML 2022 Position Prediction as an Effective Pretraining Strategy Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M Susskind

WACV 2021 On the Generalization of Learning-Based 3D Reconstruction Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind

NeurIPSW 2021 Robust Robotic Control from Pixels Using Contrastive Recurrent State-Space Models Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Joshua M. Susskind

ICML 2019 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Bautista Martin, Shih-Yu Sun, Carlos Guestrin, Josh Susskind

NeurIPS 2019 Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua Susskind