Stanley J. Osher

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 152

Top Venues

Publications

Shu Liu, Xinzhe Zuo, Stanley J. Osher, Wuchen Li
Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method. CoRR (2024)
Tingwei Meng, Siting Liu, Wuchen Li, Stanley J. Osher
A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs. CoRR (2024)
Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR (2024)
Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. J. Comput. Phys. 508 (2024)
Xinzhe Zuo, Jiaxi Zhao, Shu Liu, Stanley J. Osher, Wuchen Li
Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows. CoRR (2024)
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
A Primal-Dual Framework for Transformers and Neural Networks. CoRR (2024)
Fuqun Han, Stanley J. Osher, Wuchen Li
Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators. CoRR (2024)
Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. J. Comput. Phys. 500 (2024)
Liu Yang, Stanley J. Osher
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws. CoRR (2024)
Tan M. Nguyen, Tam Nguyen, Long Bui, Hai Do, Duy Khuong Nguyen, Dung D. Le, Hung Tran-The, Nhat Ho, Stanley J. Osher, Richard G. Baraniuk
A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys. ICASSP (2023)
Wuchen Li, Siting Liu, Stanley J. Osher
A kernel formula for regularized Wasserstein proximal operators. CoRR (2023)
Hien Dang, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. ICML (2023)
Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher
In-Context Operator Learning for Differential Equation Problems. CoRR (2023)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher
Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language. CoRR (2023)
Wuchen Li, Siting Liu, Stanley J. Osher
Controlling conservation laws I: Entropy-entropy flux. J. Comput. Phys. 480 (2023)
Hong Ye Tan, Stanley J. Osher, Wuchen Li
Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. CoRR (2023)
Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
High order computation of optimal transport, mean field planning, and potential mean field games. J. Comput. Phys. 491 (2023)
Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
A Primal-Dual Framework for Transformers and Neural Networks. ICLR (2023)
Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
A fast proximal gradient method and convergence analysis for dynamic mean field planning. Math. Comput. 93 (346) (2023)
Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
Computational mean-field games on manifolds. J. Comput. Phys. 484 (2023)
Guosheng Fu, Stanley J. Osher, Wuchen Li
High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. CoRR (2023)
Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. CoRR (2023)
Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
A primal-dual approach for solving conservation laws with implicit in time approximations. J. Comput. Phys. 472 (2023)
Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
High order computation of optimal transport, mean field planning, and mean field games. CoRR (2023)
Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature. ICML (2023)
Guosheng Fu, Stanley J. Osher, Wuchen Li
High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. J. Comput. Phys. 491 (2023)
Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. CoRR (2023)
Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li
Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. CoRR (2023)
Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho
Transformer with Fourier Integral Attentions. CoRR (2022)
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
Neural ODE Control for Trajectory Approximation of Continuity Equation. CoRR (2022)
Hao Gao, Alex Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
Neural ODE Control for Trajectory Approximation of Continuity Equation. IEEE Control. Syst. Lett. 6 (2022)
Anh Do, Duy Dinh, Tan Nguyen, Khuong Nguyen, Stanley J. Osher, Nhat Ho
Improving Generative Flow Networks with Path Regularization. CoRR (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)
Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem. NeurIPS (2022)
Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley J. Osher, Thieu Vo
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method. NeurIPS (2022)
Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
A Mean Field Game Inverse Problem. J. Sci. Comput. 92 (1) (2022)
Tan Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. CoRR (2022)
Alex Tong Lin, Daniel Eckhardt, Robert Scott Martin, Stanley J. Osher, Adrian S. Wong
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. CoRR (2022)
Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher
Improving Transformer with an Admixture of Attention Heads. NeurIPS (2022)
Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR (2022)
Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
GRAND++: Graph Neural Diffusion with A Source Term. ICLR (2022)
Alex Tong Lin, Stanley J. Osher
Multi-Agent Shape Control with Optimal Transport. CoRR (2022)
Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. 4 (2) (2022)
Hao Gao, Wonjun Lee, Yuhan Kang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. IEEE Trans. Veh. Technol. 71 (6) (2022)
Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher
A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. CoRR (2022)
Justin Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR (2022)
Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. 15 (2) (2022)
Tam Minh Nguyen, Tan Minh Nguyen, Dung D. D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
Improving Transformers with Probabilistic Attention Keys. ICML (2022)
Wuchen Li, Wonjun Lee, Stanley J. Osher
Computational mean-field information dynamics associated with reaction-diffusion equations. J. Comput. Phys. 466 (2022)
Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
A primal-dual approach for solving conservation laws with implicit in time approximations. CoRR (2022)
Wuchen Li, Siting Liu, Stanley J. Osher
Controlling conservation laws II: compressible Navier-Stokes equations. CoRR (2022)
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI (2022)
Wuchen Li, Siting Liu, Stanley J. Osher
Controlling conservation laws II: Compressible Navier-Stokes equations. J. Comput. Phys. 463 (2022)
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR (2021)
Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC (2021)
Yuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor
Task Selection and Route Planning for Mobile Crowd Sensing Using Multi-Population Mean-Field Games. ICC (2021)
Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. NeurIPS (2021)
Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
Wasserstein Proximal of GANs. GSI (2021)
Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Heavy Ball Neural Ordinary Differential Equations. NeurIPS (2021)
Tam Nguyen, Tan M. Nguyen, Dung Le, Khuong Nguyen, Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
Transformer with a Mixture of Gaussian Keys. CoRR (2021)
Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
Wasserstein Proximal of GANs. CoRR (2021)
Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. CoRR (2021)
Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. 43 (1) (2021)
Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
Computational Methods for First-Order Nonlocal Mean Field Games with Applications. SIAM J. Numer. Anal. 59 (5) (2021)
Wonjun Lee, Siting Liu, Hamidou Tembine, Wuchen Li, Stanley J. Osher
Controlling Propagation of Epidemics via Mean-Field Control. SIAM J. Appl. Math. 81 (1) (2021)
Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
Generalized unnormalized optimal transport and its fast algorithms. J. Comput. Phys. 436 (2021)
Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies. CoRR (2021)
Yuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor
Task Selection and Collision-Free Route Planning for Mobile Crowdsensing Using Multi-Population Mean-Field Games. IEEE Trans. Green Commun. Netw. 5 (4) (2021)
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)
Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. CoRR (2021)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC (2021)
Wuchen Li, Siting Liu, Stanley J. Osher
Controlling conservation laws I: entropy-entropy flux. CoRR (2021)
Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Heavy Ball Neural Ordinary Differential Equations. CoRR (2021)
Yuhan Kang, Siting Liu, Hongliang Zhang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games. IEEE Internet Things J. 8 (10) (2021)
Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
Learn to Predict Equilibria via Fixed Point Networks. CoRR (2021)
Christian Parkinson, Andrea L. Bertozzi, Stanley J. Osher
A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. CDC (2020)
Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
Projecting to Manifolds via Unsupervised Learning. CoRR (2020)
Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond. SIAM J. Math. Data Sci. 2 (3) (2020)
Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) (2020)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR (2020)
Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR (2020)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS (2020)
Christian Parkinson, David Arnold, Andrea L. Bertozzi, Stanley J. Osher
A Model for Optimal Human Navigation with Stochastic Effects. SIAM J. Appl. Math. 80 (4) (2020)
Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J. Osher
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. MSML (2020)
Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. CoRR (2020)
Hao Gao, Wonjun Lee, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. GLOBECOM (2020)
Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
Generalized Unnormalized Optimal Transport and its fast algorithms. CoRR (2020)
Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
A mean field game inverse problem. CoRR (2020)
Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR (2020)
Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao
Exploring Private Federated Learning with Laplacian Smoothing. CoRR (2020)
Bao Wang, Zuoqiang Shi, Stanley J. Osher
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS (2019)
Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR (2019)
Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. CoRR (2019)
Wilfrid Gangbo, Wuchen Li, Stanley J. Osher, Michael A. Puthawala
Unnormalized optimal transport. J. Comput. Phys. 399 (2019)
Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. CoRR (2019)
Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background. IEEE Trans. Signal Process. 67 (14) (2019)
Jun Liu, Stanley J. Osher
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. 78 (1) (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) (2019)

Stanley J. Osher.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stanley J. Osher