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Workshop
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Towards Structured Sparsity in Transformers for Efficient Inference
Harry Dong · Beidi Chen · Yuejie Chi
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Workshop
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Geometric Constraints in Probabilistic Manifolds: A Bridge from Molecular Dynamics to Structured Diffusion Processes
Justin Diamond · Markus Lill
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Workshop
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Fri 12:00
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Structured Probabilistic Inference and Generative Modeling
Dinghuai Zhang · Yuanqi Du · Chenlin Meng · Shawn Tan · Yingzhen Li · Max Welling · Yoshua Bengio
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Workshop
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Diffusion Probabilistic Models for Structured Node Classification
Hyosoon Jang · Seonghyun Park · Sangwoo Mo · Sungsoo Ahn
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Workshop
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DiffMol: 3D Structured Molecule Generation with Discrete Denoising Diffusion Probabilistic Models
Weitong Zhang · Xiaoyun Wang · Justin Smith · Joe Eaton · Brad Rees · Quanquan Gu
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Workshop
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Fri 18:40
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Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
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Workshop
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Attention as Implicit Structural Inference
Ryan Singh · Christopher Buckley
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Poster
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Tue 17:00
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Active Learning based Structural Inference
Aoran Wang · Jun Pang
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Workshop
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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Workshop
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Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
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