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106 Results

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Workshop
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
Poster
Tue 9:00 Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill · Erik Nijkamp · Jonathan Mitchell · Bo Pang · Song-Chun Zhu
Poster
Tue 14:00 Independence Testing for Bounded Degree Bayesian Networks
Arnab Bhattacharyya · Clément L Canonne · Qiping Yang
Poster
Thu 14:00 Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
Workshop
Adversarial Diffusion Models for Unsupervised Medical Image Synthesis
Muzaffer Özbey · Onat Dalmaz · Atakan Bedel · Salman Ul Hassan Dar · Şaban Öztürk · Alper Güngör · Tolga Cukur
Workshop
BLaDE: Robust Exploration via Diffusion Models
Bilal Piot · Zhaohan Guo · Shantanu Thakoor · Mohammad Gheshlaghi Azar
Poster
Thu 14:00 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue · Xiaoming Shi · James Zhang · Hongyuan Mei
Poster
Wed 14:00 3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang · Matthias Niessner · Peter Wonka
Workshop
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
Sumegha Premchandar · Sanket Jantre · Prasanna Balaprakash · Sandeep Madireddy
Poster
Tue 9:00 C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Javad Rahimipour Anaraki · Lei Guo
Poster
Wed 14:00 On A Mallows-type Model For (Ranked) Choices
Yifan Feng · Yuxuan Tang
Workshop
Modeling Temporal Data as Continuous Functions with Process Diffusion
Marin Biloš · Kashif Rasul · Anderson Schneider · Yuriy Nevmyvaka · Stephan Günnemann