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40 Results
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Workshop
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Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Jason Yim · Brian L Trippe · Doug Tischer · David Baker · Tamara Broderick · Regina Barzilay · Tommi Jaakkola |
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Poster
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Wed 14:00 |
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Jörg Franke · Frederic Runge · Frank Hutter |
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Poster
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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu · Yuhao Zhou · Fan Bao · Jianfei Chen · Chongxuan LI · Jun Zhu |
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Poster
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Wed 9:00 |
Logical Credal Networks Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu |
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Poster
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Wed 9:00 |
A Variational Edge Partition Model for Supervised Graph Representation Learning Yilin He · Chaojie Wang · Hao Zhang · Bo Chen · Mingyuan Zhou |
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Poster
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Wed 9:00 |
Flexible Diffusion Modeling of Long Videos William Harvey · Saeid Naderiparizi · Vaden Masrani · Christian Weilbach · Frank Wood |
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Poster
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Wed 14:00 |
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu · Noah Goodman |
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Poster
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Thu 14:00 |
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel |
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Poster
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Tue 9:00 |
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill · Erik Nijkamp · Jonathan Mitchell · Bo Pang · Song-Chun Zhu |
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Workshop
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A probabilistic deep learning model to distinguish cusps and cores in dwarf galaxies Julen Expósito Márquez · Marc Huertas-Company · Arianna Di Cintio · Chris Brook · Andrea Macciò · Rob Grant · Elena Arjona |
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Poster
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Tue 14:00 |
Independence Testing for Bounded Degree Bayesian Networks Arnab Bhattacharyya · Clément L Canonne · Qiping Yang |
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Workshop
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Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness Sumegha Premchandar · Sanket Jantre · Prasanna Balaprakash · Sandeep Madireddy |