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Poster
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Wed 2:30
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Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou · Chenlin Meng · Stefano Ermon
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Oral
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Thu 7:30
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The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
Haonan Wang · Qianli Shen · Yao Tong · Yang Zhang · Kenji Kawaguchi
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Workshop
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Bidirectional Consistency Models
Liangchen Li · Jiajun He
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Poster
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Thu 4:30
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Directly Denoising Diffusion Models
Dan Zhang · Jingjing Wang · Feng Luo
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Poster
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Thu 4:30
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Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li · Sitan Chen
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Poster
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Wed 2:30
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Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter · Chenyang Yuan
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Workshop
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Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij · Yingheng Wang · Volodymyr Kuleshov
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Workshop
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Transferable Reinforcement Learning via Generalized Occupancy Models
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
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Workshop
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Equivariant Neural Diffusion for Molecule Generation
François Cornet · Grigory Bartosh · Mikkel Schmidt · Christian Andersson Naesseth
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Poster
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Tue 2:30
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Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang · Steven Wu · Sergul Aydore · Michael Kearns · Aaron Roth
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Poster
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Thu 4:30
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Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
Jan Stanczuk · Georgios Batzolis · Teo Deveney · Carola-Bibiane Schönlieb
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Workshop
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TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
Defu Cao · Wen Ye · Yan Liu
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