Affinity Workshop
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Mon 13:30
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GmGM: a fast Gaussian graphical model for multi-modal data
Luisa Cutillo · Bailey Andrew · David Westhead
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Poster
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Tue 8:45
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Characteristic Circuits
Zhongjie Yu · Martin Trapp · Kristian Kersting
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Poster
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Wed 8:45
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Conditional Matrix Flows for Gaussian Graphical Models
Marcello Massimo Negri · Fabricio Arend Torres · Volker Roth
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Poster
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Wed 15:00
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Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert · Bart Kranstauber · Emiel van Loon · Patrick Forré
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Workshop
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Workshop
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Workshop
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Sat 8:50
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Poster
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Tue 15:15
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Unbiased learning of deep generative models with structured discrete representations
Henry C Bendekgey · Gabe Hope · Erik Sudderth
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Poster
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Tue 15:15
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Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neel Guha · Mayee Chen · Kush Bhatia · Azalia Mirhoseini · Frederic Sala · Christopher Ré
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Poster
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Tue 8:45
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Approximate inference of marginals using the IBIA framework
Shivani Bathla · Vinita Vasudevan
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Poster
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Tue 15:15
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Learning Large-Scale MTP Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen WANG · Jiaxi Ying · Daniel Palomar
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Workshop
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Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution
Caleb Ellington · Ben Lengerich · Thomas Watkins · Jiekun Yang · Hanxi Xiao · Manolis Kellis · Eric Xing
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