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64 Results
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Poster
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Wed 11:00 |
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous · Qinxun Bai · Fuxin Li |
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Poster
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Wed 11:00 |
Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo · Han Yu · Jiaxin Liu · Chao Chen · Qi Li · Sihong Xie · Xi Zhang |
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Poster
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Fri 11:00 |
Practical Bayesian Algorithm Execution via Posterior Sampling Chu Xin Cheng · Raul Astudillo · Thomas A Desautels · Yisong Yue |
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Poster
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Wed 11:00 |
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira · Dino Sejdinovic · David Howard · Edwin Bonilla |
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Poster
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Fri 11:00 |
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke |
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Poster
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Fri 16:30 |
A Generative Model of Symmetry Transformations James Allingham · Bruno Mlodozeniec · Shreyas Padhy · Javier Antorán · David Krueger · Richard Turner · Eric Nalisnick · José Miguel Hernández-Lobato |
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Poster
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Wed 16:30 |
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman |
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Workshop
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Fair Image Generation from Pre-trained Models by Probabilistic Modeling Mahdi Ahmadi · John Leland · Agneet Chatterjee · YooJung Choi |
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Poster
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Thu 11:00 |
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models Shivvrat Arya · Tahrima Rahman · Vibhav Gogate |
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Poster
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Wed 11:00 |
[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks Batu Helvacioglu · Ana Vasilcoiu · Thijs Stessen · Thies Kersten |
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Poster
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Thu 11:00 |
Sparse Bayesian Generative Modeling for Compressive Sensing Benedikt Böck · Sadaf Syed · Wolfgang Utschick |
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Poster
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Thu 16:30 |
Foundation Inference Models for Markov Jump Processes David Berghaus · Kostadin Cvejoski · Patrick Seifner · César Ali Ojeda Marin · Ramsés J. Sánchez |