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Workshop
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
Dmitry Akimov · Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Sergey Kolesnikov
Workshop
De-noising non-Gaussian fields in cosmology with normalizing flows
Adam Rouhiainen · Moritz Münchmeyer
Workshop
Invertible Neural Networks for Graph Prediction
Chen Xu · Xiuyuan Cheng · Yao Xie
Poster
Tue 14:00 FlowHMM: Flow-based continuous hidden Markov models
Pawel Lorek · Rafal Nowak · Tomasz Trzcinski · Maciej Zieba
Poster
Wed 9:00 Normalizing Flows for Knockoff-free Controlled Feature Selection
Derek Hansen · Brian Manzo · Jeffrey Regier
Workshop
Normalizing Flows for Fragmentation and Hadronization
Ahmed Youssef · Philip Ilten · Tony Menzo · Jure Zupan · Manuel Szewc · Stephen Mrenna · Michael K. Wilkinson
Workshop
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
Guillaume Morel · Lucas Drumetz · Nicolas Courty · François Rousseau · Simon Benaïchouche
Poster
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
Poster
Wed 14:00 Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn · Chiyoon Kim · Youngjoon Hong · Hyunwoo Kim
Poster
Thu 9:00 Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Draxler · Christoph Schnörr · Ullrich Köthe
Poster
Thu 14:00 Variational inference via Wasserstein gradient flows
Marc Lambert · Sinho Chewi · Francis Bach · Silvère Bonnabel · Philippe Rigollet
Workshop
Flow Annealed Importance Sampling Bootstrap
Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato