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Stanley J. Osher
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- affiliation: University of California at Los Angeles, Department of Mathematics, USA
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2020 – today
- 2024
- [j142]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: 112753 (2024) - [j141]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: 112994 (2024) - [j140]Liu Yang, Stanley J. Osher:
PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws. J. Comput. Phys. 519: 113379 (2024) - [j139]Raunak Manekar, Elisa Negrini, Minh Pham, Daniel Jacobs, Jaideep Srivastava, Stanley J. Osher, Jianwei Miao:
Low-Light Phase Retrieval With Implicit Generative Priors. IEEE Trans. Image Process. 33: 4728-4737 (2024) - [i74]Liu Yang, Stanley J. Osher:
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws. CoRR abs/2401.07364 (2024) - [i73]Fuqun Han, Stanley J. Osher, Wuchen Li:
Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators. CoRR abs/2401.13125 (2024) - [i72]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 abs/2401.14602 (2024) - [i71]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 abs/2402.06162 (2024) - [i70]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 abs/2402.16821 (2024) - [i69]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 abs/2403.02468 (2024) - [i68]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 abs/2406.13781 (2024) - [i67]Ricardo Parada, Samy Wu Fung, Stanley J. Osher:
Fast Partial Fourier Transforms for Large-Scale Ptychography. CoRR abs/2408.03532 (2024) - [i66]Fuqun Han, Stanley J. Osher, Wuchen Li:
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. CoRR abs/2409.01567 (2024) - [i65]Mo Zhou, Stanley J. Osher, Wuchen Li:
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems. CoRR abs/2409.16471 (2024) - 2023
- [j138]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: 111654 (2023) - [j137]Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws I: Entropy-entropy flux. J. Comput. Phys. 480: 112019 (2023) - [j136]Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher:
Computational mean-field games on manifolds. J. Comput. Phys. 484: 112070 (2023) - [j135]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: 112346 (2023) - [j134]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: 112375 (2023) - [j133]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): 603-642 (2023) - [j132]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): 235-251 (2023) - [c81]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: 1-5 - [c80]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 - [c79]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: 6873-6947 - [c78]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: 25956-25979 - [i64]Hien Dang, Tho Tran, Tan M. Nguyen, Stanley J. Osher, Hung Tran-The, Nhat Ho:
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. CoRR abs/2301.00437 (2023) - [i63]Wuchen Li, Siting Liu, Stanley J. Osher:
A kernel formula for regularized Wasserstein proximal operators. CoRR abs/2301.10301 (2023) - [i62]Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li:
High order computation of optimal transport, mean field planning, and mean field games. CoRR abs/2302.02308 (2023) - [i61]Guosheng Fu, Stanley J. Osher, Wuchen Li:
High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. CoRR abs/2303.08950 (2023) - [i60]Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher:
In-Context Operator Learning for Differential Equation Problems. CoRR abs/2304.07993 (2023) - [i59]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 abs/2305.03945 (2023) - [i58]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 abs/2306.06287 (2023) - [i57]Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher:
Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language. CoRR abs/2308.05061 (2023) - [i56]Hong Ye Tan, Stanley J. Osher, Wuchen Li:
Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. CoRR abs/2308.14945 (2023) - [i55]Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li:
Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. CoRR abs/2310.01605 (2023) - 2022
- [j131]Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher:
Neural ODE Control for Trajectory Approximation of Continuity Equation. IEEE Control. Syst. Lett. 6: 3152-3157 (2022) - [j130]Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws II: Compressible Navier-Stokes equations. J. Comput. Phys. 463: 111264 (2022) - [j129]Wuchen Li, Wonjun Lee, Stanley J. Osher:
Computational mean-field information dynamics associated with reaction-diffusion equations. J. Comput. Phys. 466: 111409 (2022) - [j128]Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin:
A Mean Field Game Inverse Problem. J. Sci. Comput. 92(1): 7 (2022) - [j127]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): 738-761 (2022) - [j126]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): 581-603 (2022) - [j125]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): 2734-2746 (2022) - [j124]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): 6266-6278 (2022) - [c77]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI 2022: 6648-6656 - [c76]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 - [c75]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: 16595-16621 - [c74]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: 189-204 - [c73]Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho:
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem. NeurIPS 2022 - [c72]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 - [c71]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 - [i54]Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws II: compressible Navier-Stokes equations. CoRR abs/2202.11248 (2022) - [i53]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 abs/2203.06269 (2022) - [i52]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 abs/2204.04851 (2022) - [i51]Justin M. 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 abs/2204.08621 (2022) - [i50]Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher:
Neural ODE Control for Trajectory Approximation of Continuity Equation. CoRR abs/2205.09241 (2022) - [i49]Tan M. Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho:
Transformer with Fourier Integral Attentions. CoRR abs/2206.00206 (2022) - [i48]Alex Tong Lin, Stanley J. Osher:
Multi-Agent Shape Control with Optimal Transport. CoRR abs/2207.00129 (2022) - [i47]Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu:
A primal-dual approach for solving conservation laws with implicit in time approximations. CoRR abs/2207.07234 (2022) - [i46]Tan M. 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 abs/2208.00579 (2022) - [i45]Anh Do, Duy Dinh, Tan M. Nguyen, Khuong Nguyen, Stanley J. Osher, Nhat Ho:
Improving Generative Flow Networks with Path Regularization. CoRR abs/2209.15092 (2022) - [i44]Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan:
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR abs/2211.16757 (2022) - 2021
- [j123]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): 8488-8503 (2021) - [j122]Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher:
Generalized unnormalized optimal transport and its fast algorithms. J. Comput. Phys. 436: 110041 (2021) - [j121]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): 190-207 (2021) - [j120]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): 2639-2668 (2021) - [j119]Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. 43(1): A26-A53 (2021) - [j118]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): 1947-1960 (2021) - [c70]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: 1036-1041 - [c69]Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar:
Wasserstein Proximal of GANs. GSI 2021: 524-533 - [c68]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: 1-6 - [c67]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: 1-6 - [c66]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: 619-651 - [c65]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: 18646-18659 - [c64]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: 29449-29463 - [i43]Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar:
Wasserstein Proximal of GANs. CoRR abs/2102.06862 (2021) - [i42]Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher:
A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. CoRR abs/2102.13260 (2021) - [i41]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 abs/2103.12803 (2021) - [i40]Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin:
Learn to Predict Equilibria via Fixed Point Networks. CoRR abs/2106.00906 (2021) - [i39]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 abs/2108.02347 (2021) - [i38]Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Heavy Ball Neural Ordinary Differential Equations. CoRR abs/2110.04840 (2021) - [i37]Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher:
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies. CoRR abs/2110.07034 (2021) - [i36]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 abs/2110.08678 (2021) - [i35]Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws I: entropy-entropy flux. CoRR abs/2111.05473 (2021) - 2020
- [j117]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): 1862-1881 (2020) - [j116]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): 559-582 (2020) - [c63]Christian Parkinson, Andrea L. Bertozzi, Stanley J. Osher:
A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. CDC 2020: 4073-4078 - [c62]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: 1-6 - [c61]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: 362-381 - [c60]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: 328-351 - [c59]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS 2020 - [i34]Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher:
Generalized Unnormalized Optimal Transport and its fast algorithms. CoRR abs/2001.11530 (2020) - [i33]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 abs/2002.10113 (2020) - [i32]Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR abs/2002.10583 (2020) - [i31]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 abs/2003.00631 (2020) - [i30]Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao:
Exploring Private Federated Learning with Laplacian Smoothing. CoRR abs/2005.00218 (2020) - [i29]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR abs/2006.06919 (2020) - [i28]Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin:
A mean field game inverse problem. CoRR abs/2007.11551 (2020) - [i27]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Projecting to Manifolds via Unsupervised Learning. CoRR abs/2008.02200 (2020)
2010 – 2019
- 2019
- [j115]Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin:
Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations. J. Comput. Phys. 387: 376-409 (2019) - [j114]Wilfrid Gangbo, Wuchen Li, Stanley J. Osher, Michael A. Puthawala:
Unnormalized optimal transport. J. Comput. Phys. 399 (2019) - [j113]Jun Liu, Stanley J. Osher:
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. 78(1): 607-624 (2019) - [j112]Yat Tin Chow, Wuchen Li, Stanley J. Osher, Wotao Yin:
Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. J. Sci. Comput. 80(2): 1195-1239 (2019) - [j111]Michael A. Puthawala, Cory D. Hauck, Stanley J. Osher:
Diagnosing Forward Operator Error Using Optimal Transport. J. Sci. Comput. 80(3): 1549-1576 (2019) - [j110]David J. Arnold, Dayne Fernandez, Ruizhe Jia, Christian Parkinson, Deborah Tonne, Yotam Yaniv, Andrea L. Bertozzi, Stanley J. Osher:
Modeling Environmental Crime in Protected Areas Using the Level Set Method. SIAM J. Appl. Math. 79(3): 802-821 (2019) - [j109]Matt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher:
Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size. SIAM J. Numer. Anal. 57(3): 1100-1123 (2019) - [j108]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): 3858-3869 (2019) - [c58]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 - [c57]Bao Wang, Zuoqiang Shi, Stanley J. Osher:
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS 2019: 1655-1665 - [i26]Lisa Maria Kreusser, Stanley J. Osher, Bao Wang:
A Deterministic Approach to Avoid Saddle Points. CoRR abs/1901.06827 (2019) - [i25]Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher:
CESMA: Centralized Expert Supervises Multi-Agents. CoRR abs/1902.02311 (2019) - [i24]Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin:
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR abs/1903.05662 (2019) - [i23]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 abs/1906.12056 (2019) - [i22]