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2020 – today
- 2024
[c8]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- [i18]Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang:
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning. CoRR abs/2402.00251 (2024) - [i17]Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind, Walter Talbott:
On the benefits of pixel-based hierarchical policies for task generalization. CoRR abs/2407.19142 (2024) - [i16]Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov:
Local Policies Enable Zero-shot Long-horizon Manipulation. CoRR abs/2410.22332 (2024) - [i15]Peide Huang, Yuhan Hu, Nataliya Nechyporenko, Daehwa Kim, Walter Talbott, Jian Zhang:
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning. CoRR abs/2410.23234 (2024) - 2023
- [i14]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 abs/2303.04248 (2023) - [i13]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 abs/2306.07290 (2023) - [i12]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 abs/2310.17722 (2023) - 2022
- [c7]Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind:
Efficient Representation Learning via Adaptive Context Pooling. ICML 2022: 9346-9355 - [c6]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: 26010-26027 - [c5]Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind:
Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) 2022: 25-30 - [c4]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 - [i11]Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind:
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR abs/2201.12300 (2022) - [i10]Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind:
Efficient Representation Learning via Adaptive Context Pooling. CoRR abs/2207.01844 (2022) - [i9]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 abs/2207.07611 (2022) - [i8]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 abs/2207.13751 (2022) - 2021
- [c3]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. WACV 2021: 2179-2188 - [i7]Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind:
An Attention Free Transformer. CoRR abs/2105.14103 (2021) - [i6]Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind:
Regularized Training of Nearest Neighbor Language Models. CoRR abs/2109.08249 (2021) - [i5]Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind:
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR abs/2112.01163 (2021) - 2020
- [i4]Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind:
Set Distribution Networks: a Generative Model for Sets of Images. CoRR abs/2006.10705 (2020) - [i3]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. CoRR abs/2006.15427 (2020)
2010 – 2019
- 2019
- [c2]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: 2891-2900 - [c1]Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind:
Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS 2019: 11156-11166 - [i2]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 abs/1905.05895 (2019) - [i1]Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind:
Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR abs/1910.13101 (2019)
Coauthor Index
aka: Josh M. Susskind
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last updated on 2024-12-03 21:22 CET by the dblp team
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