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16 Results
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Poster
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Mon 2:30 |
Softened Symbol Grounding for Neuro-symbolic Systems Zenan Li · Yuan Yao · Taolue Chen · Jingwei Xu · Chun Cao · Xiaoxing Ma · Jian Lu |
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Poster
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Mon 2:30 |
Fooling SHAP with Stealthily Biased Sampling Gabriel Laberge · Ulrich Aïvodji · Satoshi Hara · Mario Marchand · Foutse Khomh |
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Poster
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Tue 7:30 |
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao · Xiantong Zhen · Shengcai Liao · Cees G Snoek |
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Poster
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Mon 2:30 |
Mitigating Dataset Bias by Using Per-Sample Gradient Sumyeong Ahn · SeongYoon Kim · Se-Young Yun |
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Poster
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Mon 2:30 |
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering Jing Yang · Hanyuan Xiao · Wenbin Teng · Yunxuan Cai · Yajie Zhao |
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Poster
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Boosting Causal Discovery via Adaptive Sample Reweighting An Zhang · fangfu Liu · Wenchang Ma · Zhibo Cai · Xiang Wang · Tat-Seng Chua |
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Poster
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Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu · Haoran Liu · Shuiwang Ji |
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Poster
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Wed 2:30 |
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong · Xi Wang · LIN Yong · Tong Zhang |
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Poster
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Tue 7:30 |
Transformers are Sample-Efficient World Models Vincent Micheli · Eloi Alonso · François Fleuret |
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Oral
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Tue 6:00 |
Transformers are Sample-Efficient World Models Vincent Micheli · Eloi Alonso · François Fleuret |
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Oral
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Mon 6:50 |
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang |
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Poster
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Mon 7:30 |
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang |