| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Johannes Müller, Marius Zeinhofer |
Error Estimates for the Deep Ritz Method with Boundary Penalty.  |
MSML  |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tao Luo 0012, Zheng Ma 0010, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang |
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Laurent Condat, Peter Richtárik |
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler |
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Didem Kochan, Zheng Zhang 0005, Xiu Yang |
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuege Xie, Robert Shi, Hayden Schaeffer, Rachel A. Ward |
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han |
A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samuel Horváth, Chen-Yu Ho 0001, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik |
Natural Compression for Distributed Deep Learning. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zichen Zhao, Qianxiao Li |
Adaptive sampling methods for learning dynamical systems. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Daniel A. Messenger, Emiliano Dall'Anese, David M. Bortz |
Online Weak-form Sparse Identification of Partial Differential Equations. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Sixin Zhang |
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ziyu Chen, Yingzhou Li, Xiuyuan Cheng |
SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová |
Optimal denoising of rotationally invariant rectangular matrices. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin 0001, Lexing Ying |
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Fei Lu 0016, Quanjun Lang, Qingci An |
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhijun Chen, Hayden Schaeffer, Rachel A. Ward |
Concentration of Random Feature Matrices in High-Dimensions. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Johannes Müller, Marius Zeinhofer |
Notes on Exact Boundary Values in Residual Minimisation. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bin Dong, Qianxiao Li, Lei Wang, Zhi-Qin John Xu (eds.) |
Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tyler Maunu, Chenyu Yu, Gilad Lerman |
Stochastic and Private Nonconvex Outlier-Robust PCAs. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuankai Teng, Xiaoping Zhang 0002, Zhu Wang 0003, Lili Ju |
Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kookjin Lee, Nathaniel Trask, Panos Stinis |
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr |
Hierarchical partition of unity networks: fast multilevel training. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian |
Error-in-variables modelling for operator learning. |
MSML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hongkang Yang, Weinan E |
Generalization and Memorization: The Bias Potential Model. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yuan Gao, Jian Huang 0003, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang |
Deep Generative Learning via Euler Particle Transport. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Grant M. Rotskoff, Andrew R. Mitchell, Eric Vanden-Eijnden |
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Kayla Bollinger, Hayden Schaeffer |
Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin 0001, Marin Bukov |
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jingyi Zhu |
Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Queries. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Johann Rudi, Julie Bessac, Amanda Lenzi |
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jingyi Zhu |
Hessian Estimation via Stein's Identity in Black-Box Problems. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová |
The Gaussian equivalence of generative models for learning with shallow neural networks. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran |
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yuhua Zhu, Zachary Izzo, Lexing Ying |
Borrowing From the Future: Addressing Double Sampling in Model-free Control. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Matthew Thorpe, Bao Wang |
Robust Certification for Laplace Learning on Geometric Graphs. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Willem Gispen, Austen Lamacraft |
Ground States of Quantum Many Body Lattice Models via Reinforcement Learning. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jeff M. Phillips, Hasan Pourmahmood Aghababa |
Orientation-Preserving Vectorized Distance Between Curves. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Luca Saglietti, Lenka Zdeborová |
Solvable Model for Inheriting the Regularization through Knowledge Distillation. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Randall Balestriero, Hervé Glotin, Richard G. Baraniuk |
Interpretable and Learnable Super-Resolution Time-Frequency Representation. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Bo Lin, Qianxiao Li, Weiqing Ren |
A Data Driven Method for Computing Quasipotentials. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chao Ma 0012, Lei Wu, Weinan E |
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Weinan E, Stephan Wojtowytsch |
On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga |
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros |
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher |
Decentralized Multi-Agents by Imitation of a Centralized Controller. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mariia Seleznova, Gitta Kutyniok |
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jiayu Zhai, Matthew Dobson, Yao Li |
A deep learning method for solving Fokker-Planck equations. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Joan Bruna, Jan S. Hesthaven, Lenka Zdeborová (eds.) |
Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Michael Douglas, Subramanian Lakshminarasimhan, Yidi Qi |
Numerical Calabi-Yau metrics from holomorphic networks. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Behnaam Aazhang |
Deep Autoencoders: From Understanding to Generalization Guarantees. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang |
Practical and Fast Momentum-Based Power Methods. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein |
Average-Case Integrality Gap for Non-Negative Principal Component Analysis. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ziyu Xu, Aaditya Ramdas |
Dynamic Algorithms for Online Multiple Testing. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Weinan E, Stephan Wojtowytsch |
Some observations on high-dimensional partial differential equations with Barron data. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying |
A semigroup method for high dimensional committor functions based on neural network. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Christoph Feinauer, Carlo Lucibello |
Reconstruction of Pairwise Interactions using Energy-Based Models. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Xiaoping Zhang 0002, Tao Cheng, Lili Ju |
Implicit Form Neural Network for Learning Scalar Hyperbolic Conservation Laws. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Andrea Agazzi, Jianfeng Lu |
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Terrence Alsup, Luca Venturi, Benjamin Peherstorfer |
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Amit Boyarski, Sanketh Vedula, Alexander M. Bronstein |
Spectral Geometric Matrix Completion. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hwan Goh, Sheroze Sheriffdeen, Jonathan Wittmer, Tan Bui-Thanh |
Solving Bayesian Inverse Problems via Variational Autoencoders. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Tom Tirer, Joan Bruna, Raja Giryes |
Kernel-Based Smoothness Analysis of Residual Networks. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová |
Construction of optimal spectral methods in phase retrieval. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Luca Ganassali |
Sharp threshold for alignment of graph databases with Gaussian weights. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié |
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yifei Huang, Yaodong Yu, Hongyang Zhang 0001, Yi Ma 0001, Yuan Yao |
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. |
MSML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hugo Cui, Luca Saglietti, Lenka Zdeborová |
Large deviations for the perceptron model and consequences for active learning. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | François Malgouyres |
On the stable recovery of deep structured linear networks under sparsity constraints. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn |
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang |
New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Chao Ma 0012, Lei Wu, Weinan E |
The Slow Deterioration of the Generalization Error of the Random Feature Model. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Armenak Petrosyan, Anton Dereventsov, Clayton G. Webster |
Neural network integral representations with the ReLU activation function. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová |
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jiahao Yao, Marin Bukov, Lin Lin 0001 |
Policy Gradient based Quantum Approximate Optimization Algorithm. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Sho Yaida |
Non-Gaussian processes and neural networks at finite widths. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yuhua Zhu, Lexing Ying |
Borrowing From the Future: An Attempt to Address Double Sampling. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Roozbeh Yousefzadeh, Dianne P. O'Leary |
Deep learning interpretation: Flip points and homotopy methods. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Tankut Can, Kamesh Krishnamurthy, David J. Schwab |
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Karthik V. Aadithya, Paul Kuberry, Biliana S. Paskaleva, Pavel B. Bochev, K. Leeson, A. Mar, Ting Mei, Eric R. Keiter |
Data-driven Compact Models for Circuit Design and Analysis. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Wuyang Li, Xueshuang Xiang, Yingxiang Xu |
Deep Domain Decomposition Method: Elliptic Problems. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jianfeng Lu 0001, Rachel A. Ward (eds.) |
Proceedings of Mathematical and Scientific Machine Learning, MSML 2020, 20-24 July 2020, Virtual Conference / Princeton, NJ, USA |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Ariel Barr, Willem Gispen, Austen Lamacraft |
Quantum Ground States from Reinforcement Learning. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jiequn Han, Ruimeng Hu |
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Beñat Mencia Uranga, Austen Lamacraft |
SchrödingerRNN: Generative modeling of raw audio as a continuously observed quantum state. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Antoine Maillard, Gérard Ben Arous, Giulio Biroli |
Landscape Complexity for the Empirical Risk of Generalized Linear Models. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yifan Sun, Linan Zhang, Hayden Schaeffer |
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng |
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yunru Liu, Tingran Gao, Haizhao Yang |
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask |
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Kailai Xu, Eric Darve |
Calibrating Multivariate Lévy Processes with Neural Networks. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová |
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang 0001, Farzin Barekat, Stanley J. Osher |
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo 0012, Zheng Ma 0009 |
A type of generalization error induced by initialization in deep neural networks. |
MSML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Andreas Mardt, Luca Pasquali, Frank Noé, Hao Wu 0035 |
Deep learning Markov and Koopman models with physical constraints. |
MSML |
2020 |
DBLP BibTeX RDF |
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