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11 Results

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Poster
Wed 14:00 Efficient Sampling on Riemannian Manifolds via Langevin MCMC
Xiang Cheng · Jingzhao Zhang · Suvrit Sra
Workshop
Optimal Latent Transport
Hrittik Roy · Søren Hauberg
Poster
Wed 9:00 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park · Hyomin Kim · Kyungjae Lee · Junseok Kwon
Poster
Wed 14:00 Lifting Weak Supervision To Structured Prediction
Harit Vishwakarma · Frederic Sala
Poster
Tue 14:00 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
Seunghyuk Cho · Juyong Lee · Jaesik Park · Dongwoo Kim
Poster
Wed 9:00 MAtt: A Manifold Attention Network for EEG Decoding
Yue-Ting Pan · Jing-Lun Chou · Chun-Shu Wei
Poster
Wed 14:00 Riemannian Score-Based Generative Modelling
Valentin De Bortoli · Emile Mathieu · Michael Hutchinson · James Thornton · Yee Whye Teh · Arnaud Doucet
Workshop
Practical Structured Riemannian Optimization with Momentum by using Generalized Normal Coordinates
Wu Lin · Valentin Duruisseaux · Melvin Leok · Frank Nielsen · Mohammad Emtiyaz Khan · Mark Schmidt
Poster
Thu 14:00 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
Thu 14:00 Riemannian Diffusion Models
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville
Poster
Wed 14:00 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Can Yaras · Peng Wang · Zhihui Zhu · Laura Balzano · Qing Qu