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Poster
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Thu 11:00
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TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
Junxi Xiao · Qinliang Su
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Workshop
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Improved Depth Estimation of Bayesian Neural Networks
Bart van Erp · Bert de Vries
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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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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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Sun 11:20
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Sparse autoencoders for dense text embeddings reveal hierarchical feature sub-structure
Christine Ye · Charles O'Neill · John Wu · Kartheik Iyer
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Poster
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GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan · Ruyi Ding · Jiaxing He · Aidong Ding · Yunsi Fei · Xiaolin Xu
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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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