Stanley J. Osher - researchr alias

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Viewing Publication 1 - 63 from 63

2024

Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computationGuosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li. jcphy, 508:112994, 2024. [doi]

A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient methodShu Liu, Siting Liu 0003, Stanley J. Osher, Wuchen Li. jcphy, 500:112753, March 2024. [doi]

2023

Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced DataHien Dang 0003, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen. icml 2023: 6873-6947 [doi]

High order computation of optimal transport, mean field planning, and potential mean field gamesGuosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li. jcphy, 491:112346, October 2023. [doi]

High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systemsGuosheng Fu, Stanley J. Osher, Wuchen Li. jcphy, 491:112375, October 2023. [doi]

Controlling conservation laws I: Entropy-entropy fluxWuchen Li, Siting Liu, Stanley J. Osher. jcphy, 480:112019, May 2023. [doi]

A primal-dual approach for solving conservation laws with implicit in time approximationsSiting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu. jcphy, 472:111654, 2023. [doi]

Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci CurvatureKhang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen. icml 2023: 25956-25979 [doi]

A Primal-Dual Framework for Transformers and Neural NetworksTan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher. iclr 2023: [doi]

A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of KeysTan 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. icassp 2023: 1-5 [doi]

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path FindingDerek Onken, Levon Nurbekyan, Xingjian Li 0005, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto. tcst, 31(1):235-251, 2023. [doi]

A fast proximal gradient method and convergence analysis for dynamic mean field planningJiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher. moc, 93(346):603-642, June 2023. [doi]

Computational mean-field games on manifoldsJiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher. jcphy, 484:112070, July 2023. [doi]

2022

A Mean Field Game Inverse ProblemLisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin. jscic, 92(1):7, 2022. [doi]

Neural ODE Control for Trajectory Approximation of Continuity EquationKarthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher. csysl, 6:3152-3157, 2022. [doi]

JFB: Jacobian-Free Backpropagation for Implicit NetworksSamy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin. AAAI 2022: 6648-6656 [doi]

Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game ApproachHao Gao, Wonjun Lee, Yuhan Kang, Wuchen Li, Zhu Han 0001, Stanley J. Osher, H. Vincent Poor. tvt, 71(6):6266-6278, 2022. [doi]

Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial NetsHao Gao, Alex Lin, Reginald A. Banez, Wuchen Li, Zhu Han 0001, Stanley J. Osher, H. Vincent Poor. tnse, 9(4):2734-2746, 2022. [doi]

Wasserstein-Based Projections with Applications to Inverse ProblemsHoward Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin. simods, 4(2):581-603, 2022. [doi]

Computational mean-field information dynamics associated with reaction-diffusion equationsWuchen Li, Wonjun Lee, Stanley J. Osher. jcphy, 466:111409, 2022. [doi]

Controlling conservation laws II: Compressible Navier-Stokes equationsWuchen Li, Siting Liu, Stanley J. Osher. jcphy, 463:111264, 2022. [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. msml 2022: 189-204 [doi]

Improving Transformers with Probabilistic Attention KeysTam Minh Nguyen, Tan Minh Nguyen, Dung D. D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher. icml 2022: 16595-16621 [doi]

Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient MethodHo Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley J. Osher, Thieu Vo. nips 2022: [doi]

FourierFormer: Transformer Meets Generalized Fourier Integral TheoremTan Nguyen, Minh Pham 0003, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho. nips 2022: [doi]

Improving Transformer with an Admixture of Attention HeadsTan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham 0003, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher. nips 2022: [doi]

GRAND++: Graph Neural Diffusion with A Source TermMatthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang. iclr 2022: [doi]

Scheduled Restart Momentum for Accelerated Stochastic Gradient DescentBao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher. siamis, 15(2):738-761, 2022. [doi]

2021

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game ApproachHao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor. icc 2021: 1-6 [doi]

Task Selection and Route Planning for Mobile Crowd Sensing Using Multi-Population Mean-Field GamesYuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor. icc 2021: 1-6 [doi]

Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field GamesYuhan Kang, Siting Liu, Hongliang Zhang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor. iotj, 8(10):8488-8503, 2021. [doi]

Task Selection and Collision-Free Route Planning for Mobile Crowdsensing Using Multi-Population Mean-Field GamesYuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor. tgcn, 5(4):1947-1960, 2021. [doi]

Generalized unnormalized optimal transport and its fast algorithmsWonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher. jcphy, 436:110041, 2021. [doi]

Controlling Propagation of Epidemics via Mean-Field ControlWonjun Lee, Siting Liu, Hamidou Tembine, Wuchen Li, Stanley J. Osher. siamam, 81(1):190-207, 2021. [doi]

Decentralized Multi-Agents by Imitation of a Centralized ControllerAlex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher. msml 2021: 619-651 [doi]

Wasserstein Proximal of GANsAlex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar. gsi 2021: 524-533 [doi]

Computational Methods for First-Order Nonlocal Mean Field Games with ApplicationsSiting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher. siamnum, 59(5):2639-2668, 2021. [doi]

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field AttentionTan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang. nips 2021: 29449-29463 [doi]

A Neural Network Approach Applied to Multi-Agent Optimal ControlDerek Onken, Levon Nurbekyan, Xingjian Li 0005, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto. eucc 2021: 1036-1041 [doi]

Laplacian Smoothing Stochastic Gradient Markov Chain Monte CarloBao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher. siamsc, 43(1), 2021. [doi]

Heavy Ball Neural Ordinary Differential EquationsHedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang. nips 2021: 18646-18659 [doi]

2020

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural NetsThu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin. mod 2020: 362-381 [doi]

Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game ApproachHao Gao, Wonjun Lee, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor. globecom 2020: 1-6 [doi]

MomentumRNN: Integrating Momentum into Recurrent Neural NetworksTan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang. nips 2020: [doi]

A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic VehiclesChristian Parkinson, Andrea L. Bertozzi, Stanley J. Osher. cdc 2020: 4073-4078 [doi]

A Model for Optimal Human Navigation with Stochastic EffectsChristian Parkinson, David Arnold 0005, Andrea L. Bertozzi, Stanley J. Osher. siamam, 80(4):1862-1881, 2020. [doi]

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMBao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J. Osher. msml 2020: 328-351 [doi]

EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and BeyondBao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher. simods, 2(3):559-582, 2020. [doi]

2019

Modeling Environmental Crime in Protected Areas Using the Level Set MethodDavid John Arnold, Dayne Fernandez, Ruizhe Jia, Christian Parkinson, Deborah Tonne, Yotam Yaniv, Andrea L. Bertozzi, Stanley J. Osher. siamam, 79(3):802-821, 2019. [doi]

Unnormalized optimal transportWilfrid Gangbo, Wuchen Li, Stanley J. Osher, Michael A. Puthawala. jcphy, 399, 2019. [doi]

Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid SizeMatt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher. siamnum, 57(3):1100-1123, 2019. [doi]

Diagnosing Forward Operator Error Using Optimal TransportMichael A. Puthawala, Cory D. Hauck, Stanley J. Osher. jscic, 80(3):1549-1576, 2019. [doi]

ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust AccuraciesBao Wang, Zuoqiang Shi, Stanley J. Osher. nips 2019: 1655-1665 [doi]

Understanding Straight-Through Estimator in Training Activation Quantized Neural NetsPenghang Yin, Jiancheng Lyu, Shuai Zhang 0009, Stanley J. Osher, Yingyong Qi, Jack Xin. iclr 2019: [doi]

2017

An Efficient Primal-Dual Method for the Obstacle ProblemDominique Zosso, Braxton Osting, Mandy(Mengqi) Xia, Stanley J. Osher. jscic, 73(1):416-437, 2017. [doi]

2015

2014

Optimal data collection for informative rankings expose well-connected graphsBraxton Osting, Christoph Brune, Stanley J. Osher. jmlr, 15(1):2981-3012, 2014. [doi]

2012

Multiple Aerosol Unmixing by the Split Bregman AlgorithmRussell E. Warren, Stanley J. Osher, Richard G. Vanderbeek. tgrs, 50(9):3271-3279, 2012. [doi]

2006

Simplex free adaptive tree fast sweeping and evolution methods for solving level set equations in arbitrary dimensionThomas C. Cecil, Stanley J. Osher, Jianliang Qian. jcphy, 213(2):458-473, 2006. [doi]

2005

Blind deconvolution using TV regularization and Bregman iterationLin He, Antonio Marquina, Stanley J. Osher. imst, 15(1):74-83, 2005. [doi]

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