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