Walter Talbott

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Diffusion Model

Transitive Closure

Nearest Neighbor

Distribution Network

Top Venues

Publications

Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning. CoRR (2024)
Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind, Walter Talbott
On the benefits of pixel-based hierarchical policies for task generalization. CoRR (2024)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR (2024)
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
Value function estimation using conditional diffusion models for control. CoRR (2023)
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR (2023)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR (2023)
Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
Efficient Representation Learning via Adaptive Context Pooling. ICML (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS (2022)
Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. ICML (2022)
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind
Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. CoRR (2022)
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
Efficient Representation Learning via Adaptive Context Pooling. CoRR (2022)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. WACV (2021)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR (2021)
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
Regularized Training of Nearest Neighbor Language Models. CoRR (2021)
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
Set Distribution Networks: a Generative Model for Sets of Images. CoRR (2020)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. CoRR (2020)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS (2019)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML (2019)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR (2019)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR (2019)