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Poster
Fri 7:30 Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Khalid OUBLAL · Said Ladjal · David Benhaiem · Emmanuel LE BORGNE · François Roueff
Workshop
Optimize Measurement Frequencies of Clinical Variables through Variance SHAP
Jiacheng Liu · Jaideep Srivastava
Poster
Wed 7:30 Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders
Lisa Bonheme · Marek Grzes
Poster
Tue 1:45 Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Emanuele Palumbo · Laura Manduchi · Sonia Laguna · Daphné Chopard · Julia E Vogt
Poster
Wed 7:30 DiffEnc: Variational Diffusion with a Learned Encoder
Beatrix M. G. Nielsen · Anders Christensen · Andrea Dittadi · Ole Winther
Poster
Tue 1:45 Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
Aditya Chattopadhyay · Kwan Ho Ryan Chan · Rene Vidal
Poster
Wed 1:45 Conditional Variational Diffusion Models
Gabriel della Maggiora · Luis A. Croquevielle · Nikita Deshpande · Harry Horsley · Thomas Heinis · Artur Yakimovich
Poster
Tue 1:45 A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani · Jiaming Song · Jan Kautz · Arash Vahdat
Poster
Wed 7:30 t3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
Juno Kim · Jaehyuk Kwon · Mincheol Cho · Hyunjong Lee · Joong-Ho Won