MSML

Keyphrases

Publications

2022

Kookjin Lee, Nathaniel Trask, Panos Stinis
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. MSML (2022)
Laurent Condat, Peter Richtárik
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. MSML (2022)
Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. MSML (2022)
Sixin Zhang
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes. MSML (2022)
Johannes Müller, Marius Zeinhofer
Error Estimates for the Deep Ritz Method with Boundary Penalty. MSML (2022)
Fei Lu, Quanjun Lang, Qingci An
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. MSML (2022)
Zhijun Chen, Hayden Schaeffer, Rachel Ward
Concentration of Random Feature Matrices in High-Dimensions. MSML (2022)
Ziyu Chen, Yingzhou Li, Xiuyuan Cheng
SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks. MSML (2022)
Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová
Optimal denoising of rotationally invariant rectangular matrices. MSML (2022)
Tan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. MSML (2022)
Yuege Xie, Robert Shi, Hayden Schaeffer, Rachel Ward
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. MSML (2022)
Daniel A. Messenger, Emiliano Dall'Anese, David M. Bortz
Online Weak-form Sparse Identification of Partial Differential Equations. MSML (2022)
Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. MSML (2022)
Zichen Zhao, Qianxiao Li
Adaptive sampling methods for learning dynamical systems. MSML (2022)
Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
Error-in-variables modelling for operator learning. MSML (2022)
Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju
Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. MSML (2022)
Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr
Hierarchical partition of unity networks: fast multilevel training. MSML (2022)
Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Natural Compression for Distributed Deep Learning. MSML (2022)
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. MSML (2022)
Johannes Müller, Marius Zeinhofer
Notes on Exact Boundary Values in Residual Minimisation. MSML (2022)
Tyler Maunu, Chenyu Yu, Gilad Lerman
Stochastic and Private Nonconvex Outlier-Robust PCAs. MSML (2022)
Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han
A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. MSML (2022)
Didem Kochan, Zheng Zhang, Xiu Yang
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. MSML (2022)

volume 190, 2022

Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China MSML 190 (2022)

2021

volume 145, 2021

Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland. MSML 145 (2021)