Abstract is missing.
- Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical SolverYuankai Teng, Xiaoping Zhang 0002, Zhu Wang 0003, Lili Ju. 1-16 [doi]
- A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data ImputationDidem Kochan, Zheng Zhang 0005, Xiu Yang. 17-32 [doi]
- SpecNet2: Orthogonalization-free Spectral Embedding by Neural NetworksZiyu Chen, Yingzhou Li, Xiuyuan Cheng. 33-48 [doi]
- Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum CircuitsJiahao Yao, Haoya Li, Marin Bukov, Lin Lin 0001, Lexing Ying. 49-64 [doi]
- Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven ModelingKookjin Lee, Nathaniel Trask, Panos Stinis. 65-80 [doi]
- MURANA: A Generic Framework for Stochastic Variance-Reduced OptimizationLaurent Condat, Peter Richtárik. 81-96 [doi]
- Optimal denoising of rotationally invariant rectangular matricesEmanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová. 97-112 [doi]
- On the Nash equilibrium of moment-matching GANs for stationary Gaussian processesSixin Zhang. 113-128 [doi]
- Natural Compression for Distributed Deep LearningSamuel Horváth, Chen-Yu Ho 0001, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik. 129-141 [doi]
- Error-in-variables modelling for operator learningRavi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian. 142-157 [doi]
- Data adaptive RKHS Tikhonov regularization for learning kernels in operatorsFei Lu 0016, Quanjun Lang, Qingci An. 158-172 [doi]
- Stochastic and Private Nonconvex Outlier-Robust PCAsTyler Maunu, Chenyu Yu, Gilad Lerman. 173-188 [doi]
- Momentum Transformer: Closing the Performance Gap Between Self-attention and Its LinearizationTan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang. 189-204 [doi]
- An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle ModelTao Luo 0012, Zheng Ma 0010, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang. 205-214 [doi]
- Error Estimates for the Deep Ritz Method with Boundary PenaltyJohannes Müller, Marius Zeinhofer. 215-230 [doi]
- Notes on Exact Boundary Values in Residual MinimisationJohannes Müller, Marius Zeinhofer. 231-240 [doi]
- Online Weak-form Sparse Identification of Partial Differential EquationsDaniel A. Messenger, Emiliano Dall'Anese, David Bortz. 241-256 [doi]
- Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary ArtifactsArthur Jacot, Franck Gabriel, François Ged, Clément Hongler. 257-270 [doi]
- Hierarchical partition of unity networks: fast multilevel trainingNathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr. 271-286 [doi]
- Concentration of Random Feature Matrices in High-DimensionsZhijun Chen, Hayden Schaeffer, Rachel Ward. 287-302 [doi]
- SHRIMP: Sparser Random Feature Models via Iterative Magnitude PruningYuege Xie, Robert Shi, Hayden Schaeffer, Rachel Ward. 303-318 [doi]
- A Machine Learning Enhanced Algorithm for the Optimal Landing ProblemYaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han. 319-334 [doi]
- Adaptive sampling methods for learning dynamical systemsZichen Zhao, Qianxiao Li. 335-350 [doi]