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Poster
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Tue 17:00
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Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos · Zachary Fox · Nicholas Lubbers · Yen Ting Lin
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Workshop
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Constrained Sampling of Discrete Geometric Manifolds using Denoising Diffusion Probabilistic Models
Justin Diamond · Markus Lill
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
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Poster
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Thu 16:30
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Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen · JIAXING HE · Xu Han · Liping Liu
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Workshop
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Autoregressive Diffusion Models with non-Uniform Generation Order
Filip Ekström Kelvinius · Fredrik Lindsten
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Workshop
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DiffMol: 3D Structured Molecule Generation with Discrete Denoising Diffusion Probabilistic Models
Weitong Zhang · Xiaoyun Wang · Justin Smith · Joe Eaton · Brad Rees · Quanquan Gu
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Workshop
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Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion
Alex Tseng · Nathaniel Diamant · Tommaso Biancalani · Gabriele Scalia
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Poster
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Thu 16:30
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Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
Nicolas Chopin · Andras Fulop · Jeremy Heng · Alex Thiery
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Workshop
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Discrete Diffusion Reward Guidance Methods for Offline Reinforcement Learning
Matthew Coleman · Olga Russakovsky · Christine Allen-Blanchette · Ye Zhu
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Workshop
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Protein Design with Guided Discrete Diffusion
Nate Gruver · Samuel Stanton · Nathan Frey · Tim G. J. Rudner · Isidro Hotzel · Julien Lafrance-Vanasse · Arvind Rajpal · Kyunghyun Cho · Andrew Wilson
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Workshop
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Tendiffpure: Tensorizing Diffusion Models for Purification
Zhou Derun · Mingyuan Bai · Qibin Zhao
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Poster
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Thu 13:30
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Reflected Diffusion Models
Aaron Lou · Stefano Ermon
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