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14 Results

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Affinity Workshop
Mon 13:30 GmGM: a fast Gaussian graphical model for multi-modal data
Luisa Cutillo · Bailey Andrew · David Westhead
Poster
Tue 8:45 Characteristic Circuits
Zhongjie Yu · Martin Trapp · Kristian Kersting
Poster
Wed 8:45 Conditional Matrix Flows for Gaussian Graphical Models
Marcello Massimo Negri · Fabricio Arend Torres · Volker Roth
Poster
Wed 15:00 Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert · Bart Kranstauber · Emiel van Loon · Patrick Forré
Workshop
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
Workshop
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
Workshop
Sat 8:50 Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
Poster
Tue 15:15 Unbiased learning of deep generative models with structured discrete representations
Henry C Bendekgey · Gabe Hope · Erik Sudderth
Poster
Tue 15:15 Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neel Guha · Mayee Chen · Kush Bhatia · Azalia Mirhoseini · Frederic Sala · Christopher Ré
Poster
Tue 8:45 Approximate inference of marginals using the IBIA framework
Shivani Bathla · Vinita Vasudevan
Poster
Tue 15:15 Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen WANG · Jiaxi Ying · Daniel Palomar
Workshop
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