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Workshop
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Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin Observatory Using Normalizing Flows
Victoria Villar
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Affinity Workshop
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Towards probabilistic end-to-end Deep Learning Weather Forecasting: Spatio-Temporal Temperature Forecasting using Normalizing Flows
Christina Winkler
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Workshop
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Decorrelation with Conditional Normalizing Flows
Samuel Klein · Tobias Golling
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Workshop
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Mixed Samples Data Augmentation with Replacing Latent Vector Components in Normalizing Flow
Genki Osada · Budrul Ahsan · Takashi Nishide
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Poster
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Thu 14:00
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Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt · Biwei Dai · Uros Seljak
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Workshop
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Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
David Ruhe · Kaze Wong · Miles Cranmer · Patrick Forré
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Poster
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Thu 14:00
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Intrinsic dimensionality estimation using Normalizing Flows
Christian Horvat · Jean-Pascal Pfister
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Poster
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Wed 9:00
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Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
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Poster
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Thu 14:00
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Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
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Poster
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Wed 14:00
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CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Kai Yan · Alex Schwing · Yu-Xiong Wang
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Workshop
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Predicting structural brain trajectories with discrete optimal transport normalizing flows
Mireia Masias Bruns · Miguel A. González Ballester · Gemma Piella
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Poster
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Wed 9:00
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Flowification: Everything is a normalizing flow
Bálint Máté · Samuel Klein · Tobias Golling · François Fleuret
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