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Poster
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Wed 16:30
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DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
Hongyuan Tao · Hang Yu · Jianguo Li
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Poster
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Thu 16:30
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Poisson Variational Autoencoder
Hadi Vafaii · Dekel Galor · Jacob Yates
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Workshop
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Sharing Space: A Survey-agnostic Variational Autoencoder for Supernova Science
Kaylee de Soto · Ana Sofia Uzsoy · V Villar
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Workshop
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Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder
Likun Zhang · Christopher Wikle · Kiran Bhaganagar
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Workshop
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Correlating Variational Autoencoders Natively For Multi-View Imputation
Ella Orme · Marina Evangelou · Ulrich Paquet
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Workshop
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Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
Charles Camboulin · Diego Doimo · Aldo Glielmo
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Poster
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Thu 11:00
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LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat · Jakob Buhmann · Derek Bradley · Otmar Hilliges · Romann M Weber
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Workshop
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Deterministic global optimization for sample-efficient molecular design with generative machine learning
Jan Rittig · Malte Franke · Alexander Mitsos
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Workshop
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Using Variational Autoencoding to Infer the Masses of Exoplanets Embedded in the Disks of Gas and Dust Orbiting Young Stars
Sayed Mahmud · Ramit Dey · Sayantan Auddy · Neal Turner · Jeffrey Bary
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Workshop
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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Pol Timmer · Koen Minartz · Vlado Menkovski
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Workshop
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sa-SVAE: a Shared and Aligned Structured Variational Autoencoder for Extracting Behaviorally Relevant and Preserved Neural Dynamics Across Animals
Yiqi Jiang · Kaiwen Sheng · Seung Je Woo · Yu Shikano · Yixiu Zhao · Canwen Zhang · Scott Linderman · Mark Schnitzer
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