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665 Results
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Poster
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Thu 4:30 |
Why do Variational Autoencoders Really Promote Disentanglement? Pratik Bhowal · Achint Soni · Sirisha Rambhatla |
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Poster
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Wed 2:30 |
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu · Sen Zhang · Yingjie Wang · Xinmei Tian · Dacheng Tao |
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Poster
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Tue 4:30 |
Gibbs Sampling of Continuous Potentials on a Quantum Computer Arsalan Motamedi · Pooya Ronagh |
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Poster
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Wed 2:30 |
How Learning by Reconstruction Produces Uninformative Features For Perception Randall Balestriero · Yann LeCun |
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Poster
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Tue 2:30 |
Neural Diffusion Models Grigory Bartosh · Dmitry Vetrov · Christian Andersson Naesseth |
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Poster
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Thu 2:30 |
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen · Zhenyu Zhou · Can Wang · Chunhua Shen · Siwei Lyu |
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Workshop
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Fri 1:20 |
Improving Fragment-Based Deep Molecular Generative Models |
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Workshop
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Navigating Risks and Rewards of Generative Model-based Synthetic Datasets: A Regulatory Perspective Debalina Renishkumar Padariya · Isabel Wagner |
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Poster
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Tue 2:30 |
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour · Sanja Fidler · Karsten Kreis |
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Poster
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Thu 4:30 |
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference Shentao Yang · Tianqi Chen · Mingyuan Zhou |
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Poster
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Thu 4:30 |
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models Zalan Fabian · Berk Tinaz · Mahdi Soltanolkotabi |
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Poster
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Wed 2:30 |
Disentanglement Learning via Topology Nikita Balabin · Daria Voronkova · Ilya Trofimov · Evgeny Burnaev · Serguei Barannikov |