Walter Talbott

28 papers A* 7A 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EMOTION: Expressive Motion Sequence Generation for Humanoid Robots With In-Context Learning. IEEE Robotics Autom. Lett. Peide Huang, Yuhan Hu, Nataliya Nechyporenko, Daehwa Kim, Walter Talbott, Jian Zhang
2025	A*	`conf`	Local Policies Enable Zero-Shot Long-Horizon Manipulation. ICRA Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov
2024	J	`jnl`	EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning. CoRR Peide Huang, Yuhan Hu, Nataliya Nechyporenko, Daehwa Kim, Walter Talbott, Jian Zhang
2024	J	`jnl`	Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning. CoRR Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang
2024	A*	`conf`	Large Language Models as Generalizable Policies for Embodied Tasks. ICLR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
2024	J	`jnl`	Local Policies Enable Zero-shot Long-horizon Manipulation. CoRR Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov
2024	J	`jnl`	On the benefits of pixel-based hierarchical policies for task generalization. CoRR Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind, Walter Talbott
2023	J	`jnl`	Large Language Models as Generalizable Policies for Embodied Tasks. CoRR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023	J	`jnl`	TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
2023	J	`jnl`	Value function estimation using conditional diffusion models for control. CoRR Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
2022	J	`jnl`	Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind
2022	A*	`conf`	Efficient Representation Learning via Adaptive Context Pooling. ICML Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
2022	J	`jnl`	Efficient Representation Learning via Adaptive Context Pooling. CoRR Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
2022	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 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
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR 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
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Position Prediction as an Effective Pretraining Strategy. CoRR Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	—	`conf`	Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind
2021	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	A	`conf`	On the generalization of learning-based 3D reconstruction. WACV Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2021	J	`jnl`	Regularized Training of Nearest Neighbor Language Models. CoRR Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
2021	J	`jnl`	Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
2020	J	`jnl`	On the generalization of learning-based 3D reconstruction. CoRR Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2020	J	`jnl`	Set Distribution Networks: a Generative Model for Sets of Images. CoRR Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
2019	A*	`conf`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	A*	`conf`	Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind