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ORCIDStanley J. Osher
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- affiliation: University of California at Los Angeles, Department of Mathematics, USA
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Books and Theses
- 2003
[b1]Stanley J. Osher, Ronald Fedkiw:
Level set methods and dynamic implicit surfaces. Applied mathematical sciences 153, Springer 2003, ISBN 0387954821, pp. I-XIII, 1-273
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 2018
- [j107]Matthew R. Kirchner, Robert T. Mar, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher, Yat Tin Chow:
Time-Optimal Collaborative Guidance Using the Generalized Hopf Formula. IEEE Control. Syst. Lett. 2(2): 201-206 (2018) - [j106]Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher:
Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. 352: 213-245 (2018) - [j105]Frédéric Gibou, Ronald Fedkiw, Stanley J. Osher:
A review of level-set methods and some recent applications. J. Comput. Phys. 353: 82-109 (2018) - [j104]Michael Royston, Andre Pradhana, Byungjoon Lee, Yat Tin Chow, Wotao Yin, Joseph Teran, Stanley J. Osher:
Parallel redistancing using the Hopf-Lax formula. J. Comput. Phys. 365: 7-17 (2018) - [j103]Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo:
A Parallel Method for Earth Mover's Distance. J. Sci. Comput. 75(1): 182-197 (2018) - [j102]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model. J. Sci. Comput. 75(2): 638-656 (2018) - [j101]Wuchen Li, Penghang Yin, Stanley J. Osher:
Computations of Optimal Transport Distance with Fisher Information Regularization. J. Sci. Comput. 75(3): 1581-1595 (2018) - [j100]Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher:
Unbalanced and Partial L1 Monge-Kantorovich Problem: A Scalable Parallel First-Order Method. J. Sci. Comput. 75(3): 1596-1613 (2018) - [j99]Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher:
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. 77(2): 1133-1146 (2018) - [j98]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. 11(4): 2205-2223 (2018) - [j97]Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher:
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. 40(5): A3675-A3698 (2018) - 2017
- [j96]Byungjoon Lee, Jérôme Darbon, Stanley J. Osher, Myungjoo Kang:
Revisiting the redistancing problem using the Hopf-Lax formula. J. Comput. Phys. 330: 268-281 (2017) - [j95]Dominique Zosso, Braxton Osting, Mandy (Mengqi) Xia, Stanley J. Osher:
An Efficient Primal-Dual Method for the Obstacle Problem. J. Sci. Comput. 73(1): 416-437 (2017) - [j94]Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin:
Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton-Jacobi Equations Arising From Optimal Control and Differential Games Problems. J. Sci. Comput. 73(2-3): 617-643 (2017) - [j93]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Weighted Nonlocal Laplacian on Interpolation from Sparse Data. J. Sci. Comput. 73(2-3): 1164-1177 (2017) - [j92]Stanley J. Osher, Zuoqiang Shi, Wei Zhu:
Low Dimensional Manifold Model for Image Processing. SIAM J. Imaging Sci. 10(4): 1669-1690 (2017) - [j91]Farzin Barekat, Russel Caflisch, Stanley J. Osher:
On the Support of Compressed Modes. SIAM J. Math. Anal. 49(4): 2573-2590 (2017) - [j90]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang:
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. 55(5): 2786-2798 (2017) - 2016
- [j89]Jérôme Gilles, Stanley J. Osher:
Wavelet burst accumulation for turbulence mitigation. J. Electronic Imaging 25(3): 033003 (2016) - [j88]Fang Li, Stanley J. Osher, Jing Qin, Ming Yan:
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. 69(1): 82-106 (2016) - 2015
- [j87]Farzin Barekat, Stanley J. Osher:
A time continuation based fast approximate algorithm for compressed sensing related optimization. Math. Comput. 84(296): 2791-2822 (2015) - [j86]Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang, Tony F. Chan, Stanley J. Osher:
Normal Estimation of a Transparent Object Using a Video. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 890-897 (2015) - [j85]Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher:
An L1 Penalty Method for General Obstacle Problems. SIAM J. Appl. Math. 75(4): 1424-1444 (2015) - [j84]Hayden Schaeffer, Yi Yang, Stanley J. Osher:
Space-Time Regularization for Video Decompression. SIAM J. Imaging Sci. 8(1): 373-402 (2015) - [j83]Dominique Zosso, Giang Tran, Stanley J. Osher:
Non-Local Retinex - A Unifying Framework and Beyond. SIAM J. Imaging Sci. 8(2): 787-826 (2015) - [j82]Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. 8(3): 1798-1823 (2015) - [j81]Hayden Schaeffer, Yi Yang, Hongkai Zhao, Stanley J. Osher:
Real-Time Adaptive Video Compression. SIAM J. Sci. Comput. 37(6) (2015) - [j80]Stamatios Lefkimmiatis, Stanley J. Osher:
Nonlocal Structure Tensor Functionals for Image Regularization. IEEE Trans. Computational Imaging 1(1): 16-29 (2015) - 2014
- [j79]Braxton Osting, Christoph Brune, Stanley J. Osher:
Optimal data collection for informative rankings expose well-connected graphs. J. Mach. Learn. Res. 15(1): 2981-3012 (2014) - [j78]Rongjie Lai, Stanley J. Osher:
A Splitting Method for Orthogonality Constrained Problems. J. Sci. Comput. 58(2): 431-449 (2014) - [j77]Alan Mackey, Hayden Schaeffer, Stanley J. Osher:
On the Compressive Spectral Method. Multiscale Model. Simul. 12(4): 1800-1827 (2014) - [j76]Jérôme Gilles, Giang Tran, Stanley J. Osher:
2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited. SIAM J. Imaging Sci. 7(1): 157-186 (2014) - 2013
- [j75]Andreas Langer, Stanley J. Osher, Carola-Bibiane Schönlieb:
Bregmanized Domain Decomposition for Image Restoration. J. Sci. Comput. 54(2-3): 549-576 (2013) - [j74]Wotao Yin, Stanley J. Osher:
Error Forgetting of Bregman Iteration. J. Sci. Comput. 54(2-3): 684-695 (2013) - [j73]Ming Yan, Yi Yang, Stanley J. Osher:
Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit. J. Sci. Comput. 56(3): 433-449 (2013) - [j72]Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher:
An adaptive inverse scale space method for compressed sensing. Math. Comput. 82(281): 269-299 (2013) - [j71]Yi Yang, Michael Möller, Stanley J. Osher:
A dual split Bregman method for fast ℓ1 minimization. Math. Comput. 82(284): 2061-2085 (2013) - [j70]Hayden Schaeffer, Stanley J. Osher:
A Low Patch-Rank Interpretation of Texture. SIAM J. Imaging Sci. 6(1): 226-262 (2013) - [j69]Alexandre Borghi, Jérôme Darbon, Sylvain Peyronnet, Tony F. Chan, Stanley J. Osher:
A Simple Compressive Sensing Algorithm for Parallel Many-Core Architectures. J. Signal Process. Syst. 71(1): 1-20 (2013) - 2012
- [j68]Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher:
Multi-Channel l1 Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method. IEEE Trans. Speech Audio Process. 20(2): 661-675 (2012) - [j67]Russell E. Warren, Stanley J. Osher, Richard G. Vanderbeek:
Multiple Aerosol Unmixing by the Split Bregman Algorithm. IEEE Trans. Geosci. Remote. Sens. 50(9): 3271-3279 (2012) - [j66]Ernie Esser, Michael Möller, Stanley J. Osher, Guillermo Sapiro, Jack Xin:
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. IEEE Trans. Image Process. 21(7): 3239-3252 (2012) - [j65]Virginia Estellers, Dominique Zosso, Rongjie Lai, Stanley J. Osher, Jean-Philippe Thiran, Xavier Bresson:
Efficient Algorithm for Level Set Method Preserving Distance Function. IEEE Trans. Image Process. 21(12): 4722-4734 (2012) - [j64]Ming Yan, Yi Yang, Stanley J. Osher:
Robust 1-bit Compressive Sensing Using Adaptive Outlier Pursuit. IEEE Trans. Signal Process. 60(7): 3868-3875 (2012) - 2011
- [j63]Jue Yan, Stanley J. Osher:
A local discontinuous Galerkin method for directly solving Hamilton-Jacobi equations. J. Comput. Phys. 230(1): 232-244 (2011) - [j62]Xiaoqun Zhang, Martin Burger, Stanley J. Osher:
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011) - [j61]Lap-Fai Yu, Sai Kit Yeung, Chi-Keung Tang, Demetri Terzopoulos, Tony F. Chan, Stanley J. Osher:
Make it home: automatic optimization of furniture arrangement. ACM Trans. Graph. 30(4): 86 (2011) - 2010
- [j60]Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda:
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression. J. Mach. Learn. Res. 11: 713-741 (2010) - [j59]Yifei Lou, Xiaoqun Zhang, Stanley J. Osher, Andrea L. Bertozzi:
Image Recovery via Nonlocal Operators. J. Sci. Comput. 42(2): 185-197 (2010) - [j58]Tom Goldstein, Xavier Bresson, Stanley J. Osher:
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction. J. Sci. Comput. 45(1-3): 272-293 (2010) - [j57]Yu Mao, Bin Dong, Stanley J. Osher:
A Nonlinear PDE-Based Method for Sparse Deconvolution. Multiscale Model. Simul. 8(3): 965-976 (2010) - [j56]Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher:
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [j55]Bin Dong, Aichi Chien, Zuowei Shen, Stanley J. Osher:
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery. SIAM J. Sci. Comput. 32(4): 1724-1739 (2010) - [j54]Yu Mao, Benjamin P. Fahimian, Stanley J. Osher, Jianwei Miao:
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography. IEEE Trans. Image Process. 19(5): 1259-1268 (2010) - 2009
- [j53]Igor Yanovsky, Alex D. Leow, Suh Lee, Stanley J. Osher, Paul M. Thompson:
Comparing registration methods for mapping brain change using tensor-based morphometry. Medical Image Anal. 13(5): 679-700 (2009) - [j52]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Split Bregman Methods and Frame Based Image Restoration. Multiscale Model. Simul. 8(2): 337-369 (2009) - [j51]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Linearized Bregman iterations for compressed sensing. Math. Comput. 78(267): 1515-1536 (2009) - [j50]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Convergence of the linearized Bregman iteration for ℓ1-norm minimization. Math. Comput. 78(268): 2127-2136 (2009) - [j49]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Linearized Bregman Iterations for Frame-Based Image Deblurring. SIAM J. Imaging Sci. 2(1): 226-252 (2009) - [j48]Tom Goldstein, Stanley J. Osher:
The Split Bregman Method for L1-Regularized Problems. SIAM J. Imaging Sci. 2(2): 323-343 (2009) - 2008
- [j47]Chiu-Yen Kao, Stanley J. Osher, Jianliang Qian:
Legendre-transform-based fast sweeping methods for static Hamilton-Jacobi equations on triangulated meshes. J. Comput. Phys. 227(24): 10209-10225 (2008) - [j46]Thomas C. Cecil, Stanley J. Osher, Jianliang Qian:
Essentially Non-Oscillatory Adaptive Tree Methods. J. Sci. Comput. 35(1): 25-41 (2008) - [j45]Stanley J. Osher:
Preface. J. Sci. Comput. 35(2-3): 75-76 (2008) - [j44]Antonio Marquina, Stanley J. Osher:
Image Super-Resolution by TV-Regularization and Bregman Iteration. J. Sci. Comput. 37(3): 367-382 (2008) - [j43]Bin Dong, Jian Ye, Stanley J. Osher, Ivo D. Dinov:
Level Set Based Nonlocal Surface Restoration. Multiscale Model. Simul. 7(2): 589-598 (2008) - [j42]Guy Gilboa, Stanley J. Osher:
Nonlocal Operators with Applications to Image Processing. Multiscale Model. Simul. 7(3): 1005-1028 (2008) - [j41]Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher:
Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008) - [j40]Antoni Buades, Aichi Chien, Jean-Michel Morel, Stanley J. Osher:
Topology Preserving Linear Filtering Applied to Medical Imaging. SIAM J. Imaging Sci. 1(1): 26-50 (2008) - [j39]Wotao Yin, Stanley J. Osher, Donald Goldfarb, Jérôme Darbon:
Bregman Iterative Algorithms for \ell1-Minimization with Applications to Compressed Sensing. SIAM J. Imaging Sci. 1(1): 143-168 (2008) - [j38]Jianing Shi, Stanley J. Osher:
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model. SIAM J. Imaging Sci. 1(3): 294-321 (2008) - 2007
- [j37]Lin He, Chiu-Yen Kao, Stanley J. Osher:
Incorporating topological derivatives into shape derivatives based level set methods. J. Comput. Phys. 225(1): 891-909 (2007) - [j36]Xavier Bresson, Selim Esedoglu, Pierre Vandergheynst, Jean-Philippe Thiran, Stanley J. Osher:
Fast Global Minimization of the Active Contour/Snake Model. J. Math. Imaging Vis. 28(2): 151-167 (2007) - [j35]Stanley J. Osher:
Preface. J. Sci. Comput. 31(1-2): 1-3 (2007) - [j34]Myungjoo Kang, Hyeseon Shim, Stanley J. Osher:
Level Set Based Simulations of Two-Phase Oil-Water Flows in Pipes. J. Sci. Comput. 31(1-2): 153-184 (2007) - [j33]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
A comparison of three total variation based texture extraction models. J. Vis. Commun. Image Represent. 18(3): 240-252 (2007) - [j32]Yonggang Shi, Paul M. Thompson, Ivo D. Dinov, Stanley J. Osher, Arthur W. Toga:
Direct cortical mapping via solving partial differential equations on implicit surfaces. Medical Image Anal. 11(3): 207-223 (2007) - [j31]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
The Total Variation Regularized L1 Model for Multiscale Decomposition. Multiscale Model. Simul. 6(1): 190-211 (2007) - [j30]Martin Burger, Klaus Frick, Stanley J. Osher, Otmar Scherzer:
Inverse Total Variation Flow. Multiscale Model. Simul. 6(2): 366-395 (2007) - [j29]Guy Gilboa, Stanley J. Osher:
Nonlocal Linear Image Regularization and Supervised Segmentation. Multiscale Model. Simul. 6(2): 595-630 (2007) - [j28]Jinjun Xu, Stanley J. Osher:
Iterative Regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising. IEEE Trans. Image Process. 16(2): 534-544 (2007) - 2006
- [j27]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. 67(1): 111-136 (2006) - [j26]Daniel Cremers, Stanley J. Osher, Stefano Soatto:
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. Int. J. Comput. Vis. 69(3): 335-351 (2006) - [j25]Thomas C. Cecil, Stanley J. Osher, Jianliang Qian:
Simplex free adaptive tree fast sweeping and evolution methods for solving level set equations in arbitrary dimension. J. Comput. Phys. 213(2): 458-473 (2006) - [j24]Lin He, Martin Burger, Stanley J. Osher:
Iterative Total Variation Regularization with Non-Quadratic Fidelity. J. Math. Imaging Vis. 26(1-2): 167-184 (2006) - [j23]Stefan Kindermann, Stanley J. Osher, Jinjun Xu:
Denoising by BV-duality. J. Sci. Comput. 28(2-3): 411-444 (2006) - [j22]Hailiang Liu, Li-Tien Cheng, Stanley J. Osher:
A Level Set Framework for Capturing Multi-Valued Solutions of Nonlinear First-Order Equations. J. Sci. Comput. 29(3): 353-373 (2006) - 2005
- [j21]Lin He, Antonio Marquina, Stanley J. Osher:
Blind deconvolution using TV regularization and Bregman iteration. Int. J. Imaging Syst. Technol. 15(1): 74-83 (2005) - [j20]Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin:
An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. 4(2): 460-489 (2005) - [j19]Stefan Kindermann, Stanley J. Osher, Peter W. Jones:
Deblurring and Denoising of Images by Nonlocal Functionals. Multiscale Model. Simul. 4(4): 1091-1115 (2005) - [j18]Chiu-Yen Kao, Stanley J. Osher, Yen-Hsi Tsai:
Fast Sweeping Methods for Static Hamilton-Jacobi Equations. SIAM J. Numer. Anal. 42(6): 2612-2632 (2005) - 2004
- [j17]Luminita A. Vese, Stanley J. Osher:
Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions. J. Math. Imaging Vis. 20(1-2): 7-18 (2004) - [j16]Ola Marius Lysaker, Stanley J. Osher, Xue-Cheng Tai:
Noise removal using smoothed normals and surface fitting. IEEE Trans. Image Process. 13(10): 1345-1357 (2004) - 2003
- [j15]Frédéric Gibou, Ronald Fedkiw, Russel E. Caflisch, Stanley J. Osher:
A Level Set Approach for the Numerical Simulation of Dendritic Growth. J. Sci. Comput. 19(1-3): 183-199 (2003) - [j14]Luminita A. Vese, Stanley J. Osher:
Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing. J. Sci. Comput. 19(1-3): 553-572 (2003) - [j13]Stanley J. Osher, Andres Fco. Solé, Luminita A. Vese:
Image Decomposition and Restoration Using Total Variation Minimization and the H1. Multiscale Model. Simul. 1(3): 349-370 (2003) - [j12]Yen-Hsi Richard Tsai, Yoshikazu Giga, Stanley J. Osher:
A level set approach for computing discontinuous solutions of Hamilton-Jacobi equations. Math. Comput. 72(241): 159-181 (2003) - [j11]Yen-Hsi Richard Tsai, Li-Tien Cheng, Stanley J. Osher, Hong-Kai Zhao:
Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations. SIAM J. Numer. Anal. 41(2): 673-694 (2003) - [j10]Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher:
Simultaneous structure and texture image inpainting. IEEE Trans. Image Process. 12(8): 882-889 (2003) - [j9]Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher:
Geometric surface processing via normal maps. ACM Trans. Graph. 22(4): 1012-1033 (2003) - 2002
- [j8]Luminita A. Vese, Stanley J. Osher:
Numerical Methods for p-Harmonic Flows and Applications to Image Processing. SIAM J. Numer. Anal. 40(6): 2085-2104 (2002) - 2001
- [j7]Steven J. Ruuth, Barry Merriman, Jack Xin, Stanley J. Osher:
Diffusion-Generated Motion by Mean Curvature for Filaments. J. Nonlinear Sci. 11(6): 473-493 (2001) - [j6]Tony F. Chan, Stanley J. Osher, Jianhong Shen:
The digital TV filter and nonlinear denoising. IEEE Trans. Image Process. 10(2): 231-241 (2001) - 2000
- [j5]Hong-Kai Zhao, Stanley J. Osher, Barry Merriman, Myungjoo Kang:
Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method. Comput. Vis. Image Underst. 80(3): 295-314 (2000) - [j4]Antonio Marquina, Stanley J. Osher:
Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal. SIAM J. Sci. Comput. 22(2): 387-405 (2000) - 1998
- [j3]Eduard Harabetian, Stanley J. Osher:
Regularization of Ill-Posed Problems Via the Level Set Approach. SIAM J. Appl. Math. 58(6): 1689-1706 (1998) - 1994
- [j2]Björn Engquist, Stanley J. Osher, Sifen Zhong:
Fast Wavelet Based Algorithms for Linear Evolution Equations. SIAM J. Sci. Comput. 15(4): 755-775 (1994) - 1991
- [j1]Emad Fatemi, Joseph W. Jerome, Stanley J. Osher:
Solution of the hydrodynamic device model using high-order nonoscillatory shock capturing algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(2): 232-244 (1991)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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 - 2018
- [c56]Matthew R. Kirchner, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher:
A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems. CCTA 2018: 1583-1590 - [c55]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS 2018: 751-761 - [c54]Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. WHISPERS 2018: 1-5 - 2017
- [c53]Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier:
Partial differential equations for training deep neural networks. ACSSC 2017: 1627-1631 - [c52]Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher:
Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP 2017: 6195-6199 - [c51]Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu:
Accelerated high-resolution EEG source imaging. NER 2017: 1-4 - 2016
- [c50]Ying Li, Jing Qin, Stanley J. Osher, Wentai Liu:
Graph fractional-order total variation EEG source reconstruction. EMBC 2016: 101-104 - 2015
- [c49]Dominique Zosso, Braxton Osting, Stanley J. Osher:
A Dirichlet Energy Criterion for Graph-Based Image Segmentation. ICDM Workshops 2015: 821-830 - [c48]Stamatios Lefkimmiatis, Andres Saucedo, Stanley J. Osher, Kyunghyun Sung:
Vectorial non-local total variation regularization for calibration-free parallel MRI reconstruction. ISBI 2015: 1256-1259 - [c47]Yifei Lou, Stanley J. Osher, Jack Xin:
Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. MCO (1) 2015: 169-180 - 2013
- [c46]Yi Yang, Hayden Schaeffer, Wotao Yin, Stanley J. Osher:
Mixing space-time derivatives for video compressive sensing. ACSSC 2013: 158-162 - [c45]Dominique Zosso, Giang Tran, Stanley J. Osher:
A unifying retinex model based on non-local differential operators. Computational Imaging 2013: 865702 - [c44]Braxton Osting, Christoph Brune, Stanley J. Osher:
Enhanced statistical rankings via targeted data collection. ICML (1) 2013: 489-497 - 2012
- [c43]Ryan Compton, Stanley J. Osher, Louis-S. Bouchard:
Hybrid regularization for mri reconstruction with static field inhomogeneity correction. ISBI 2012: 650-655 - [c42]Jian Ye, Igor Yanovsky, Bin Dong, Rima Gandlin, Achi Brandt, Stanley J. Osher:
Multigrid Narrow Band Surface Reconstruction via Level Set Functions. ISVC (1) 2012: 61-70 - 2011
- [c41]Wenye Ma, Jean-Michel Morel, Stanley J. Osher, Aichi Chien:
An L1-based variational model for Retinex theory and its application to medical images. CVPR 2011: 153-160 - [c40]Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang, Tony F. Chan, Stanley J. Osher:
Adequate reconstruction of transparent objects on a shoestring budget. CVPR 2011: 2513-2520 - [c39]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, Arthur W. Toga, John D. Van Horn:
Fast edge-filtered image upsampling. ICIP 2011: 1165-1168 - 2010
- [c38]Arthur Szlam, Zhaohui Guo, Stanley J. Osher:
A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. ICIP 2010: 1917-1920 - [c37]Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher:
Convexity and fast speech extraction by split bregman method. INTERSPEECH 2010: 398-401 - [c36]Wenye Ma, Meng Yu, Jack Xin, Stanley J. Osher:
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method. INTERSPEECH 2010: 402-405 - [c35]Jian Ye, Todd Wittman, Xavier Bresson, Stanley J. Osher:
Segmentation for Hyperspectral Images with Priors. ISVC (2) 2010: 97-106 - [c34]Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley J. Osher:
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation. ISVC (2) 2010: 117-128 - [c33]Alexandre Borghi, Jérôme Darbon, Sylvain Peyronnet, Tony F. Chan, Stanley J. Osher:
A Compressive Sensing Algorithm for Many-Core Architectures. ISVC (2) 2010: 678-686 - 2009
- [c32]Jérôme Darbon, Igor Ciril, Antonio Marquina, Tony F. Chan, Stanley J. Osher:
A note on the Bregmanized Total Variation and dual forms. ICIP 2009: 2965-2968 - [c31]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga:
MRI Resolution Enhancement Using Total Variation Regularization. ISBI 2009: 161-164 - [c30]Bin Dong, Eric Savitsky, Stanley J. Osher:
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance. ISVC (1) 2009: 914-923 - [c29]Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga:
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement. SSVM 2009: 389-400 - 2008
- [c28]Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow:
Multimodal unbiased image matching via mutual information. Computational Imaging 2008: 681410 - [c27]Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow:
Asymmetric and symmetric unbiased image registration: Statistical assessment of performance. CVPR Workshops 2008: 1-8 - [c26]Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Xue Hua, David W. Shattuck, Arthur W. Toga, Alex D. Leow:
Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI). ISBI 2008: 1091-1094 - [c25]Jérôme Darbon, Alexandre Cunha, Tony F. Chan, Stanley J. Osher, Grant J. Jensen:
Fast nonlocal filtering applied to electron cryomicroscopy. ISBI 2008: 1331-1334 - [c24]Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanley J. Osher:
Level Set Based Surface Capturing in 3D Medical Images. MICCAI (1) 2008: 162-169 - 2007
- [c23]Guy Gilboa, Stanley J. Osher:
Nonlocal evolutions for image regularization. Computational Imaging 2007: 64980U - [c22]Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow:
Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation. CVPR 2007 - [c21]Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Luminita A. Vese, Alex D. Leow:
Multiphase Segmentation of Deformation using Logarithmic Priors. CVPR 2007 - [c20]Talal Rahman, Xue-Cheng Tai, Stanley J. Osher:
A TV-Stokes Denoising Algorithm. SSVM 2007: 473-483 - [c19]Lin He, Stanley J. Osher:
Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative. SSVM 2007: 777-788 - [c18]Igor Yanovsky, Stanley J. Osher, Paul M. Thompson, Alex D. Leow:
Log-unbiased large-deformation image registration. VISAPP (1) 2007: 272-279 - 2006
- [c17]Luminita A. Vese, Stanley J. Osher:
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach. SYNASC 2006: 103-110 - 2005
- [c16]Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa:
Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM 2005: 25-36 - [c15]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L1 Functional. VLSM 2005: 73-84 - [c14]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Decomposition by a TV-Gabor Model. VLSM 2005: 85-96 - [c13]Shingyu Leung, Stanley J. Osher:
Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising. VLSM 2005: 149-160 - 2004
- [c12]Daniel Cremers, Stanley J. Osher, Stefano Soatto:
Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. DAGM-Symposium 2004: 36-44 - [c11]David E. Breen, Ron Fedkiw, Ken Museth, Stanley J. Osher, Guillermo Sapiro, Ross T. Whitaker:
Level set and PDE methods for computer graphics. SIGGRAPH Course Notes 2004: 28 - 2003
- [c10]Paolo Favaro, Stanley J. Osher, Stefano Soatto, Luminita A. Vese:
3D Shape from Anisotropic Diffusion. CVPR (1) 2003: 179-186 - [c9]Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher:
Simultaneous Structure and Texture Image Inpainting. CVPR (2) 2003: 707-712 - [c8]Yen-Hsi Tsai, Stanley J. Osher:
Level set methods in image science. ICIP (2) 2003: 631-634 - [c7]Wei-Hsun Liao, Hillary Protas, Luminita A. Vese, Sung-Cheng Huang, Marvin Bergsneider, Stanley J. Osher:
New framework for object warping: semi-Lagrangian level set approach. ICIP (3) 2003: 685-688 - [c6]Stanley J. Osher, Andres Fco. Solé, Luminita A. Vese:
Image decomposition, image restoration, and texture modeling using total variation minimization and the H/sup-1/ norm. ICIP (1) 2003: 689-692 - [c5]Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher:
Image filling-in in a decomposition space. ICIP (1) 2003: 853-855 - [c4]Wei-Hsun Liao, Luminita A. Vese, Sung-Cheng Huang, Marvin Bergsneider, Stanley J. Osher:
Computational Anatomy and Implicit Object Representation: A Level Set Approach. WBIR 2003: 40-49 - 2002
- [c3]Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher:
Geometric Surface Smoothing via Anisotropic Diffusion of Normals. IEEE Visualization 2002: 125-132 - 1999
- [c2]Antonio Marquina, Stanley J. Osher:
A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal. Scale-Space 1999: 429-434 - 1994
- [c1]Leonid I. Rudin, Stanley J. Osher:
Total Variation Based Image Restoration with Free Local Constraints. ICIP (1) 1994: 31-35
Informal and Other Publications
- 2024
- [i73]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) - [i72]Fuqun Han, Stanley J. Osher, Wuchen Li:
Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators. CoRR abs/2401.13125 (2024) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Ricardo Parada, Samy Wu Fung, Stanley J. Osher:
Fast Partial Fourier Transforms for Large-Scale Ptychography. CoRR abs/2408.03532 (2024) - [i65]Fuqun Han, Stanley J. Osher, Wuchen Li:
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. CoRR abs/2409.01567 (2024) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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]Bao Wang, Stanley J. Osher:
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. CoRR abs/1907.06800 (2019) - [i21]Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. CoRR abs/1911.00782 (2019) - [i20]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 abs/1912.01825 (2019) - 2018
- [i19]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR abs/1801.06313 (2018) - [i18]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018) - [i17]Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin:
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018) - [i16]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR abs/1808.05240 (2018) - [i15]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018) - [i14]Zehao Dou, Stanley J. Osher, Bao Wang:
Mathematical Analysis of Adversarial Attacks. CoRR abs/1811.06492 (2018) - [i13]Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher:
EnResNet: ResNet Ensemble via the Feynman-Kac Formalism. CoRR abs/1811.10745 (2018) - 2017
- [i12]Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier:
Deep Relaxation: partial differential equations for optimizing deep neural networks. CoRR abs/1704.04932 (2017) - [i11]Matthew R. Kirchner, Robert T. Mar, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher, Yat Tin Chow:
Time-Optimal Collaborative Guidance using the Generalized Hopf Formula. CoRR abs/1709.06590 (2017) - [i10]Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher:
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR abs/1710.07746 (2017) - [i9]Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin:
Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR abs/1711.08833 (2017) - [i8]Matthew R. Kirchner, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher:
A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems. CoRR abs/1712.08226 (2017) - [i7]Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher:
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR abs/1712.10279 (2017) - 2016
- [i6]Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi:
A Harmonic Extension Approach for Collaborative Ranking. CoRR abs/1602.05127 (2016) - [i5]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso:
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR abs/1604.08182 (2016) - [i4]Zuoqiang Shi, Wei Zhu, Stanley J. Osher:
Low dimensional manifold model in hyperspectral image reconstruction. CoRR abs/1605.05652 (2016) - 2015
- [i3]Fang Li, Stanley J. Osher, Jing Qin, Ming Yan:
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR abs/1504.02206 (2015) - 2012
- [i2]Braxton Osting, Christoph Brune, Stanley J. Osher:
Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs. CoRR abs/1207.6430 (2012) - 2011
- [i1]Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin:
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising. CoRR abs/1104.0262 (2011)
Coauthor Index
[j142] [j141] [j138] [j137] [j136] [j135] [j134] [j133] [j130] [j129] [j128] [j125] [j124] [j123] [j122] [j121] [j120] [j114] [j112] [j109] [j103] [j101] [j100] [j97] [c69] [c68] [c62] [i72] [i71] [i70] [i69] [i68] [i65] [i63] [i62] [i61] [i59] [i58] [i56] [i55] [i54] [i47] [i43] [i42] [i35] [i34] [i33] [i28] [i20] [i7]
Tan M. Nguyen
aka: Tan Minh Nguyen
aka: Tan Minh Nguyen
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