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Poster
Tue 14:00 FlowHMM: Flow-based continuous hidden Markov models
Pawel Lorek · Rafal Nowak · Tomasz Trzcinski · Maciej Zieba
Poster
Thu 14:00 Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
Workshop
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maëlys Solal · Andrew Jesson · Yarin Gal · Alyson Douglas
Workshop
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
Alexis Groshenry · Clément Giron · Alexandre d'Aspremont · Thomas Lauvaux · Thibaud Ehret
Poster
Learning Optical Flow from Continuous Spike Streams
Rui Zhao · Ruiqin Xiong · Jing Zhao · Zhaofei Yu · Xiaopeng Fan · Tiejun Huang
Workshop
Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin Observatory Using Normalizing Flows
Victoria Villar
Poster
Tue 14:00 Wavelet Score-Based Generative Modeling
Florentin Guth · Simon Coste · Valentin De Bortoli · Stephane Mallat
Poster
Thu 9:00 LIPS - Learning Industrial Physical Simulation benchmark suite
Milad LEYLI ABADI · Antoine Marot · Jérôme Picault · David Danan · Mouadh Yagoubi · Benjamin Donnot · Seif Attoui · Pavel Dimitrov · Asma Farjallah · Clement Etienam
Poster
Thu 14:00 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue · Xiaoming Shi · James Zhang · Hongyuan Mei
Poster
Tue 14:00 Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette MILLET · Charlotte Caucheteux · pierre orhan · Yves Boubenec · Alexandre Gramfort · Ewan Dunbar · Christophe Pallier · Jean-Remi King
Affinity Workshop
A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow
Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
Poster
Thu 9:00 Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Draxler · Christoph Schnörr · Ullrich Köthe