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Poster
Tue 9:00 [Re] Reproduction Study of Variational Fair Clustering
Floor Eijkjelboom · Mark Fokkema · Anna Lau · Luuk Verheijen
Poster
Thu 14:00 SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson · Allan Raventós · andrew warrington · Scott Linderman
Poster
Tue 9:00 Learning Robust Dynamics through Variational Sparse Gating
Arnav Kumar Jain · Shivakanth Sujit · Shruti Joshi · Vincent Michalski · Danijar Hafner · Samira Ebrahimi Kahou
Poster
Thu 14:00 Riemannian Diffusion Models
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville
Poster
Thu 14:00 Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
Poster
Wed 14:00 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
Poster
Natural image synthesis for the retina with variational information bottleneck representation
Babak Rahmani · Demetri Psaltis · Christophe Moser
Poster
Thu 9:00 Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson
Poster
Tue 14:00 Hamiltonian Latent Operators for content and motion disentanglement in image sequences
Asif Khan · Amos Storkey
Poster
Thu 14:00 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda
Poster
Thu 14:00 SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Sheng Yu Huang · Hao-Yu Hsu · Frank Wang
Poster
Tue 14:00 Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve