Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

26 Results

<<   <   Page 1 of 3   >   >>
Poster
Thu 15:00 PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
Poster
Wed 8:45 On the spectral bias of two-layer linear networks
Aditya Vardhan Varre · Maria-Luiza Vladarean · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
Poster
Thu 8:45 Spectral Evolution and Invariance in Linear-width Neural Networks
Zhichao Wang · Andrew Engel · Anand D Sarwate · Ioana Dumitriu · Tony Chiang
Poster
Tue 15:15 A Spectral Theory of Neural Prediction and Alignment
Abdulkadir Canatar · Abdulkadir Canatar · Jenelle Feather · Albert Wakhloo · SueYeon Chung
Poster
Wed 8:45 Fast and Simple Spectral Clustering in Theory and Practice
Peter Macgregor
Poster
Wed 8:45 A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
Ilias Diakonikolas · Daniel Kane · Jasper Lee · Ankit Pensia · Ankit Pensia · Thanasis Pittas
Workshop
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke · Daniel Cremers
Poster
Wed 15:00 Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
Michael Feldman · David Donoho
Poster
Tue 15:15 A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
Ranran Shen · Pan Peng
Workshop
DspGNN: Bringing Spectral Design to Discrete Time Dynamic Graph Neural Networks for Edge Regression
Leshanshui Yang · Clement Chatelain · Sébastien Adam
Poster
Wed 15:00 Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang · Xin Wang · Ziwei Zhang · Zhou Qin · Weigao Wen · Hui Xue' · Haoyang Li · Wenwu Zhu
Poster
Tue 15:15 Graph Contrastive Learning with Stable and Scalable Spectral Encoding
Deyu Bo · Yuan Fang · Yang Liu · Chuan Shi