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Poster
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Wed 8:45
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Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau · Emmanuel Moebel · Charles Kervrann
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Workshop
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CaloFFJORD: High Fidelity Calorimeter Simulation Using Continuous Normalizing Flows
Chirag Furia · Vinicius Mikuni
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Workshop
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Normalization Enhances Generalization in Visual Reinforcement Learning
Lu Li · Jiafei Lyu · Guozheng Ma · Zilin Wang · Zhenjie Yang · Xiu Li · Zhiheng Li
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Workshop
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Invertible normalizing flow neural networks by JKO scheme
Chen Xu · Xiuyuan Cheng · Yao Xie
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Workshop
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Escaping mediocrity: how two-layer networks learn hard generalized linear models
Luca Arnaboldi · Florent Krzakala · Bruno Loureiro · Ludovic Stephan
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Workshop
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How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
Yatin Dandi · Florent Krzakala · Bruno Loureiro · Luca Pesce · Ludovic Stephan
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Workshop
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Leveraging Uniformity of Normalized Embeddings for Sequential Recommendation
Hyunsoo Chung · Jungtaek Kim
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Workshop
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Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows
Vincent Zaballa · Elliot Hui
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Workshop
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Zephyr : Stitching Heterogeneous Training Data with Normalizing Flow for Photometric Redshift Inference
Zechang Sun · Joshua Speagle · Song Huang · Yuan-Sen Ting · Zheng Cai
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Workshop
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Transition Path Sampling with Boltzmann Generator-based MCMC Moves
Michael Plainer · Hannes Stärk · Charlotte Bunne · Stephan Günnemann
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Workshop
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Orbital-Free Density Functional Theory with Continuous Normalizing Flows
Rodrigo Vargas-Hernandez · Ricky T. Q. Chen · Alexandre de Camargo
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Workshop
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Transition Path Sampling with Boltzmann Generator-based MCMC Moves
Michael Plainer · Hannes Stärk · Charlotte Bunne · Stephan Günnemann
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