Poster
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Tue 8:45
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Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
Xi Yu · Xiang Gu · Haozhi Liu · Jian Sun
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Poster
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Tue 15:15
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Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós · Mansheej Paul · Feng Chen · Surya Ganguli
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Workshop
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Sat 14:45
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Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk · Simone Brugiapaglia · Yaniv Plan · Matthew Scott · Xia Sheng · Ozgur Yilmaz
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Poster
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Tue 15:15
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Change point detection and inference in multivariate non-parametric models under mixing conditions
Carlos Misael Madrid Padilla · Haotian Xu · Daren Wang · OSCAR HERNAN MADRID PADILLA · Yi Yu
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Workshop
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Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou · Chuning Zhu · Runlong Zhou · Qiwen Cui · Abhishek Gupta · Simon Du
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Workshop
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Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning
Hanhan Zhou · Tian Lan · Vaneet Aggarwal
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Poster
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Wed 15:00
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MoVie: Visual Model-Based Policy Adaptation for View Generalization
Sizhe Yang · Yanjie Ze · Yanjie Ze · Huazhe Xu
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Workshop
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Non-Uniform Sampling and Adaptive Optimizers in Deep Learning
Thibault Lahire
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Workshop
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Fri 9:40
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Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
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Workshop
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Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou · Chuning Zhu · Runlong Zhou · Qiwen Cui · Abhishek Gupta · Simon Du
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Workshop
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Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso · Yilun Xu · Valentin De Bortoli · Regina Barzilay · Tommi Jaakkola
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Workshop
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Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning
Hanhan Zhou · Tian Lan · Vaneet Aggarwal
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