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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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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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Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder
Ferenc Csikor · Balázs Meszéna · Bence Szabó · Gergo Orban
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Poster
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Thu 9:00
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Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang · Ziyu Guo · Peng Gao · Rongyao Fang · Bin Zhao · Dong Wang · Yu Qiao · Hongsheng Li
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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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Poster
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Wed 9:00
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Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis · Chao Ma · José Miguel Hernández-Lobato
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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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Wed 14:00
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A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck · Christopher Williams · Dominic Danks · George Deligiannidis · Christopher Yau · Chris C Holmes · Arnaud Doucet · Matthew Willetts
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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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Wed 14:00
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Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
Jörg Franke · Frederic Runge · Frank Hutter
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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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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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