29 Results

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