firstbacksecondback
50 Results
Poster
|
Wed 14:00 |
Learning Tractable Probabilistic Models from Inconsistent Local Estimates Shasha Jin · Vasundhara Komaragiri · Tahrima Rahman · Vibhav Gogate |
|
Workshop
|
Diffusion Models for Graphs Benefit From Discrete State Spaces Kilian Haefeli · Karolis Martinkus · Nathanael Perraudin · Roger Wattenhofer |
||
Workshop
|
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 |
||
Workshop
|
Can denoising diffusion probabilistic models generate realistic astrophysical fields? Nayantara Mudur · Douglas P. Finkbeiner |
||
Poster
|
Wed 9:00 |
Logical Credal Networks Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu |
|
Poster
|
Wed 9:00 |
A Variational Edge Partition Model for Supervised Graph Representation Learning Yilin He · Chaojie Wang · Hao Zhang · Bo Chen · Mingyuan Zhou |
|
Poster
|
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 |
||
Poster
|
Wed 9:00 |
Flexible Diffusion Modeling of Long Videos William Harvey · Saeid Naderiparizi · Vaden Masrani · Christian Weilbach · Frank Wood |
|
Poster
|
Wed 14:00 |
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Jörg Franke · Frederic Runge · Frank Hutter |
|
Poster
|
Tue 9:00 |
A Probabilistic Graph Coupling View of Dimension Reduction Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard |
|
Poster
|
Thu 9:00 |
Structured Recognition for Generative Models with Explaining Away Changmin Yu · Hugo Soulat · Neil Burgess · Maneesh Sahani |
|
Poster
|
Thu 14:00 |
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel |