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Poster
Wed 9:00 Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang · Clay Scott
Poster
Tue 9:00 Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing
Chao Shen · Yu-Ting Lin · Hau-Tieng Wu
Poster
Multi-view Subspace Clustering on Topological Manifold
Shudong Huang · Hongjie Wu · Yazhou Ren · Ivor Tsang · Zenglin Xu · Wentao Feng · Jiancheng Lv
Poster
Wed 9:00 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal · Alexander Havrilla · Minshuo Chen · Tuo Zhao · Wenjing Liao
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
Poster
Wed 9:00 The Gyro-Structure of Some Matrix Manifolds
Xuan Son Nguyen
Poster
Tue 14:00 Shape And Structure Preserving Differential Privacy
Carlos Soto · Karthik Bharath · Matthew Reimherr · Aleksandra Slavković
Poster
You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
Jiangxin Sun · Chunyu Wang · Huang Hu · Hanjiang Lai · Zhi Jin · Jian-Fang Hu
Poster
Thu 14:00 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye · Lemeng Wu · Qiang Liu
Poster
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
Zhiwei Hao · Jianyuan Guo · Ding Jia · Kai Han · Yehui Tang · Chao Zhang · Han Hu · Yunhe Wang
Poster
Thu 9:00 NOMAD: Nonlinear Manifold Decoders for Operator Learning
Jacob Seidman · Georgios Kissas · Paris Perdikaris · George J. Pappas
Poster
Thu 14:00 Riemannian Diffusion Models
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville