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Poster
Thu 14:00 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
Wed 14:00 Efficient Sampling on Riemannian Manifolds via Langevin MCMC
Xiang Cheng · Jingzhao Zhang · Suvrit Sra
Poster
Tue 14:00 Shape And Structure Preserving Differential Privacy
Carlos Soto · Karthik Bharath · Matthew Reimherr · Aleksandra Slavković
Poster
Thu 14:00 The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound
Liam O'Carroll · Vaidehi Srinivas · Aravindan Vijayaraghavan
Poster
Thu 14:00 Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Hao Liu · Tom Zahavy · Volodymyr Mnih · Satinder Singh
Poster
Tue 9:00 DiSC: Differential Spectral Clustering of Features
Ram Dyuthi Sristi · Gal Mishne · Ariel Jaffe
Poster
Wed 14:00 Lifting Weak Supervision To Structured Prediction
Harit Vishwakarma · Frederic Sala
Poster
Tue 14:00 Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf
Poster
Wed 9:00 MAtt: A Manifold Attention Network for EEG Decoding
Yue-Ting Pan · Jing-Lun Chou · Chun-Shu Wei
Poster
Wed 9:00 Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung · Byeongsu Sim · Dohoon Ryu · Jong Chul Ye
Poster
Tue 9:00 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Zhi Gao · Yuwei Wu · Yunde Jia · Mehrtash Harandi
Poster
Thu 14:00 Riemannian Diffusion Models
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville