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66 Results
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Poster
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Thu 14:00 |
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu · Saman Motamed · Shaunak Srivastava · Fernando D De la Torre |
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Poster
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Wed 14:00 |
Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn · Chiyoon Kim · Youngjoon Hong · Hyunwoo Kim |
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Poster
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Tue 9:00 |
Poisson Flow Generative Models Yilun Xu · Ziming Liu · Max Tegmark · Tommi Jaakkola |
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Workshop
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Point Cloud Generation using Transformer Encoders and Normalising Flows Benno Käch · Dirk Krücker · Isabell Melzer |
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Poster
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Thu 9:00 |
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Draxler · Christoph Schnörr · Ullrich Köthe |
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Workshop
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Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Workshop
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Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu · Chengyue Gong · Qiang Liu |
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Workshop
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Multi-Objective GFlowNets Moksh Jain · Sharath Chandra Raparthy · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Yoshua Bengio · Santiago Miret · Emmanuel Bengio |
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Workshop
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Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Poster
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Thu 14:00 |
Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Workshop
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Flow Annealed Importance Sampling Bootstrap Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato |
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Poster
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Wed 9:00 |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig |