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Poster
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Tue 14:00
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TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov · Dmitry Baranchuk · Ivan Rubachev · Artem Babenko
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Poster
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Thu 16:30
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Non-autoregressive Conditional Diffusion Models for Time Series Prediction
Lifeng Shen · James Kwok
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Workshop
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A comparison of diffusion models and CycleGANs for virtual staining of slide-free microscopy images
Tanishq Abraham · Richard Levenson
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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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Poster
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Wed 14:00
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FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
Chieh-Hsin Lai · Yuhta Takida · Naoki Murata · Toshimitsu Uesaka · Yuki Mitsufuji · Stefano Ermon
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Workshop
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Diffusion Models for Probabilistic Deconvolution of Galaxy Images
Zhiwei Xue · Yuhang Li · Yash Patel · Jeffrey Regier
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Workshop
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Exposing the Fake: Effective Diffusion-Generated Images Detection
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Poster
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Thu 16:30
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Better Diffusion Models Further Improve Adversarial Training
Zekai Wang · Tianyu Pang · Chao Du · Min Lin · Weiwei Liu · Shuicheng YAN
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Poster
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Thu 16:30
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SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin · Niv Haim · Michal Irani
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Poster
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Thu 16:30
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Dirichlet Diffusion Score Model for Biological Sequence Generation
Pavel Avdeyev · Chenlai Shi · Yuhao Tan · Kseniia Dudnyk · Jian Zhou
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Poster
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Wed 17:00
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Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning · Enver Sangineto · Angelo Porrello · Simone Calderara · Rita Cucchiara
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Workshop
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Leaving Reality to Imagination: Robust Classification via Generated Datasets
Hritik Bansal · Aditya Grover
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