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MSML 2022, Beijing, China
- Bin Dong, Qianxiao Li, Lei Wang, Zhi-Qin John Xu:
Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China. Proceedings of Machine Learning Research 190, PMLR 2022 - Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju:
Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. 1-16 - Didem Kochan, Zheng Zhang, Xiu Yang:
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. 17-32 - Ziyu Chen, Yingzhou Li, Xiuyuan Cheng:
SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks. 33-48 - Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying:
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. 49-64 - Kookjin Lee, Nathaniel Trask, Panos Stinis:
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. 65-80 - Laurent Condat, Peter Richtárik:
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. 81-96 - Emanuele Troiani, Vittorio Erba, Florent Krzakala
, Antoine Maillard, Lenka Zdeborová:
Optimal denoising of rotationally invariant rectangular matrices. 97-112 - Sixin Zhang:
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes. 113-128 - Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. 129-141 - Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian:
Error-in-variables modelling for operator learning. 142-157 - Fei Lu, Quanjun Lang, Qingci An:
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. 158-172 - Tyler Maunu, Chenyu Yu, Gilad Lerman:
Stochastic and Private Nonconvex Outlier-Robust PCAs. 173-188 - 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. 189-204 - 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. 205-214 - Johannes Müller
Error Estimates for the Deep Ritz Method with Boundary Penalty. 215-230 - Johannes Müller
Notes on Exact Boundary Values in Residual Minimisation. 231-240 - Daniel A. Messenger, Emiliano Dall'Anese, David M. Bortz:
Online Weak-form Sparse Identification of Partial Differential Equations. 241-256 - Arthur Jacot, Franck Gabriel, François Ged
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. 257-270 - Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr:
Hierarchical partition of unity networks: fast multilevel training. 271-286 - Zhijun Chen, Hayden Schaeffer, Rachel A. Ward:
Concentration of Random Feature Matrices in High-Dimensions. 287-302 - Yuege Xie, Robert Shi, Hayden Schaeffer, Rachel A. Ward:
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. 303-318 - Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han:
A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. 319-334 - Zichen Zhao, Qianxiao Li:
Adaptive sampling methods for learning dynamical systems. 335-350
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last updated on 2024-11-18 20:32 CET by the dblp team
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