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Poster
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Wed 4:30
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PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee · Minsung Hwang · Joyce Whang
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Poster
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Tue 2:30
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Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
Ding Huang · Ting Li · Jian Huang
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Poster
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Tue 4:30
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StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang · Qianxiao Li
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Poster
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Tue 2:30
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Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Idan Achituve · Idit Diamant · Arnon Netzer · Gal Chechik · Ethan Fetaya
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Poster
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Thu 4:30
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Smooth Min-Max Monotonic Networks
Christian Igel
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Workshop
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Fri 4:10
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Protein Thermodynamics and Kinetics with Deep Learning
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Poster
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Wed 4:30
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When Representations Align: Universality in Representation Learning Dynamics
Loek van Rossem · Andrew Saxe
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Poster
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Tue 4:30
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Generalization Analysis of Deep Non-linear Matrix Completion
Antoine Ledent · Rodrigo Alves
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Poster
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Tue 2:30
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Aligning Transformers with Weisfeiler-Leman
Luis Müller · Christopher Morris
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Workshop
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Sat 0:45
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BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
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Poster
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Tue 4:30
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More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
Hossein Zakerinia · Amin Behjati · Christoph Lampert
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Poster
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Wed 2:30
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Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
Luyang Fang · Yongkai Chen · Wenxuan Zhong · Ping Ma
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