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Poster
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Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye · Adrian G. Bors
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Poster
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Thu 9:00
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Deep Generative Model for Periodic Graphs
Shiyu Wang · Xiaojie Guo · Liang Zhao
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Workshop
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Data-Driven Computational Imaging for Scientific Discovery
Andrew Olsen · Yolanda Hu · Vidya Ganapati
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Poster
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Tue 14:00
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Hamiltonian Latent Operators for content and motion disentanglement in image sequences
Asif Khan · Amos Storkey
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Workshop
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Fri 13:00
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SurviVAEl: Variational Autoencoders for Clustering Time Series
Stefan Groha · Alexander Gusev · Sebastian Schmon
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Poster
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Wed 9:00
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VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino · Giuseppe Marra · Emanuele Sansone
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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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On the relationship between variational inference and auto-associative memory
Louis Annabi · Alexandre Pitti · Mathias Quoy
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Poster
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Natural image synthesis for the retina with variational information bottleneck representation
Babak Rahmani · Demetri Psaltis · Christophe Moser
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Poster
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Tue 14:00
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Improving Variational Autoencoders with Density Gap-based Regularization
Jianfei Zhang · Jun Bai · Chenghua Lin · Yanmeng Wang · Wenge Rong
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Poster
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Thu 9:00
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Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson
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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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