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Poster
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Tue 14:00
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Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf
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Poster
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Tue 14:00
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Posterior Matching for Arbitrary Conditioning
Ryan Strauss · Junier B Oliva
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Workshop
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DeepStruc: Towards structure solution from pair distribution function data using deep generative models
Emil Thyge Skaaning Kjær · Andy S. Anker · Marcus Weng · Simon J. L. Billinge · Raghavendra Selvan · Kirsten Jensen
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Workshop
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Using hierarchical variational autoencoders to incorporate conditional independent priors for paired single-cell multi-omics data integration
Ping-Han Hsieh · Ru-Xiu Hsiao · Tatiana Belova · Katalin Ferenc · Anthony Mathelier · Rebekka Burkholz · Chien-Yu Chen · Geir Kjetil Sandve · Marieke L Kuijjer
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Poster
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Thu 14:00
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Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina · Max Welling · Jakub Tomczak
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Workshop
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Fri 5:10
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Multimodal Transformer for Parallel Concatenated Variational Autoencoders
Stephen Liang · Jerry Mendel
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Poster
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Thu 9:00
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Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding · Haohong Lin · Bo Li · DING ZHAO
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Workshop
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Unsupervised Anomaly Detection in Medical Images Using Hierarchical Variational Autoencoders
Derek Huynh · Tanya Schmah
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Workshop
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Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space
Gian Marco Visani · Michael Pun · Armita Nourmohammad
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Poster
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Thu 9:00
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A Geometric Perspective on Variational Autoencoders
Clément Chadebec · Stephanie Allassonniere
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Workshop
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Fri 10:00
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Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder
Balázs Meszéna
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Workshop
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Normative Modeling on Multimodal Neuroimaging Data using Variational Autoencoders
Sayantan Kumar · Philip Payne
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