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Poster
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Thu 8:45
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AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
Paribesh Regmi · Rui Li
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Workshop
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A Physics-Informed Variational Autoencoder for Rapid Galaxy Inference and Anomaly Detection
Alex Gagliano · Ashley Villar
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Poster
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Tue 8:45
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Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Michael Bereket · Theofanis Karaletsos
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Poster
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Thu 8:45
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Variational Gaussian Processes with Decoupled Conditionals
Xinran Zhu · Kaiwen Wu · Natalie Maus · Jacob Gardner · David Bindel
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Workshop
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Training a Hopfield Variational Autoencoder with Equilibrium Propagation
Tom Van Der Meersch · Johannes Deleu · Thomas Demeester
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Workshop
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A deep generative model of single-cell methylomic data
Ethan Weinberger · Su-In Lee
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Poster
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Wed 8:45
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Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
Seunghwan An · Jong-June Jeon
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Workshop
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Predictive variational autoencoder for learning robust representations of time-series data
Julia Wang · Dexter Tsin · Tatiana Engel
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Workshop
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Predictive variational autoencoder for learning robust representations of time-series data
Julia Wang · Dexter Tsin · Tatiana Engel
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Poster
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Thu 15:00
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Learning a 1-layer conditional generative model in total variation
Ajil Jalal · Justin Kang · Ananya Uppal · Kannan Ramchandran · Eric Price
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Workshop
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Sat 9:45
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FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference Task for Visual Representation Learning
Ivan Vegner · Siddharth N · Leonidas Doumas
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Poster
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Wed 15:00
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Gacs-Korner Common Information Variational Autoencoder
Michael Kleinman · Alessandro Achille · Stefano Soatto · Jonathan Kao
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