Stanley J. Osher
Orcid: 0000-0002-7900-4658Affiliations:
- University of California at Los Angeles, Department of Mathematics, USA
According to our database1,
Stanley J. Osher
authored at least 265 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on id.loc.gov
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Bibliography
2024
A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method.
J. Comput. Phys., March, 2024
A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs.
CoRR, 2024
Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows.
CoRR, 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization.
CoRR, 2024
Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method.
CoRR, 2024
Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators.
CoRR, 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws.
CoRR, 2024
2023
High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems.
J. Comput. Phys., October, 2023
High order computation of optimal transport, mean field planning, and potential mean field games.
J. Comput. Phys., October, 2023
A fast proximal gradient method and convergence analysis for dynamic mean field planning.
Math. Comput., June, 2023
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding.
IEEE Trans. Control. Syst. Technol., 2023
A primal-dual approach for solving conservation laws with implicit in time approximations.
J. Comput. Phys., 2023
Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations.
CoRR, 2023
Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language.
CoRR, 2023
Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation.
CoRR, 2023
High order computation of optimal transport, mean field planning, and mean field games.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach.
IEEE Trans. Veh. Technol., 2022
Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets.
IEEE Trans. Netw. Sci. Eng., 2022
SIAM J. Math. Data Sci., 2022
SIAM J. Imaging Sci., 2022
Computational mean-field information dynamics associated with reaction-diffusion equations.
J. Comput. Phys., 2022
J. Comput. Phys., 2022
IEEE Control. Syst. Lett., 2022
CoRR, 2022
A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem.
CoRR, 2022
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators.
CoRR, 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization.
Proceedings of the Mathematical and Scientific Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Task Selection and Collision-Free Route Planning for Mobile Crowdsensing Using Multi-Population Mean-Field Games.
IEEE Trans. Green Commun. Netw., 2021
SIAM J. Sci. Comput., 2021
SIAM J. Numer. Anal., 2021
SIAM J. Appl. Math., 2021
J. Comput. Phys., 2021
Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games.
IEEE Internet Things J., 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Mathematical and Scientific Machine Learning, 2021
Task Selection and Route Planning for Mobile Crowd Sensing Using Multi-Population Mean-Field Games.
Proceedings of the ICC 2021, 2021
Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach.
Proceedings of the ICC 2021, 2021
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
Proceedings of the 2021 European Control Conference, 2021
2020
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond.
SIAM J. Math. Data Sci., 2020
SIAM J. Appl. Math., 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets.
CoRR, 2020
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.
Proceedings of Mathematical and Scientific Machine Learning, 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach.
Proceedings of the IEEE Global Communications Conference, 2020
A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Signal Process., 2019
Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size.
SIAM J. Numer. Anal., 2019
SIAM J. Appl. Math., 2019
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising.
J. Sci. Comput., 2019
Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula.
J. Sci. Comput., 2019
Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations.
J. Comput. Phys., 2019
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems.
CoRR, 2019
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning.
CoRR, 2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.
CoRR, 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
SIAM J. Sci. Comput., 2018
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights.
SIAM J. Imaging Sci., 2018
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering.
J. Sci. Comput., 2018
J. Sci. Comput., 2018
Unbalanced and Partial L<sub>1</sub> Monge-Kantorovich Problem: A Scalable Parallel First-Order Method.
J. Sci. Comput., 2018
J. Sci. Comput., 2018
J. Comput. Phys., 2018
IEEE Control. Syst. Lett., 2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.
CoRR, 2018
CoRR, 2018
Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
2017
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2017
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., 2017
J. Comput. Phys., 2017
CoRR, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity.
J. Sci. Comput., 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
IEEE Trans. Computational Imaging, 2015
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing.
SIAM J. Imaging Sci., 2015
SIAM J. Appl. Math., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
A time continuation based fast approximate algorithm for compressed sensing related optimization.
Math. Comput., 2015
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015
Vectorial non-local total variation regularization for calibration-free parallel MRI reconstruction.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
SIAM J. Imaging Sci., 2014
J. Mach. Learn. Res., 2014
2013
J. Signal Process. Syst., 2013
Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit.
J. Sci. Comput., 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the Computational Imaging XI, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
IEEE Trans. Signal Process., 2012
IEEE Trans. Image Process., 2012
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space.
IEEE Trans. Image Process., 2012
IEEE Trans. Geosci. Remote. Sens., 2012
Multi-Channel l<sub>1</sub> Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method.
IEEE Trans. Speech Audio Process., 2012
CoRR, 2012
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
Hybrid regularization for mri reconstruction with static field inhomogeneity correction.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
ACM Trans. Graph., 2011
J. Sci. Comput., 2011
A local discontinuous Galerkin method for directly solving Hamilton-Jacobi equations.
J. Comput. Phys., 2011
CoRR, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
An L1-based variational model for Retinex theory and its application to medical images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography.
IEEE Trans. Image Process., 2010
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery.
SIAM J. Sci. Comput., 2010
SIAM J. Imaging Sci., 2010
Multiscale Model. Simul., 2010
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction.
J. Sci. Comput., 2010
A Fast Hybrid Algorithm for Large-Scale <i>l<sub>1</sub></i>-Regularized Logistic Regression.
J. Mach. Learn. Res., 2010
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Proceedings of the INTERSPEECH 2010, 2010
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method.
Proceedings of the INTERSPEECH 2010, 2010
A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing.
Proceedings of the International Conference on Image Processing, 2010
2009
SIAM J. Imaging Sci., 2009
Math. Comput., 2009
Multiscale Model. Simul., 2009
Comparing registration methods for mapping brain change using tensor-based morphometry.
Medical Image Anal., 2009
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the International Conference on Image Processing, 2009
2008
Bregman Iterative Algorithms for \ell<sub>1</sub>-Minimization with Applications to Compressed Sensing.
SIAM J. Imaging Sci., 2008
SIAM J. Imaging Sci., 2008
SIAM J. Imaging Sci., 2008
Multiscale Model. Simul., 2008
J. Sci. Comput., 2008
Legendre-transform-based fast sweeping methods for static Hamilton-Jacobi equations on triangulated meshes.
J. Comput. Phys., 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI).
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Asymmetric and symmetric unbiased image registration: Statistical assessment of performance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
Proceedings of the Computational Imaging VI, 2008
2007
Iterative Regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising.
IEEE Trans. Image Process., 2007
Multiscale Model. Simul., 2007
Multiscale Model. Simul., 2007
Direct cortical mapping via solving partial differential equations on implicit surfaces.
Medical Image Anal., 2007
J. Vis. Commun. Image Represent., 2007
J. Sci. Comput., 2007
J. Math. Imaging Vis., 2007
Incorporating topological derivatives into shape derivatives based level set methods.
J. Comput. Phys., 2007
Log-unbiased large-deformation image registration.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007
Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Proceedings of the Computational Imaging V, San Jose, 2007
2006
A Level Set Framework for Capturing Multi-Valued Solutions of Nonlinear First-Order Equations.
J. Sci. Comput., 2006
J. Math. Imaging Vis., 2006
Simplex free adaptive tree fast sweeping and evolution methods for solving level set equations in arbitrary dimension.
J. Comput. Phys., 2006
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation.
Int. J. Comput. Vis., 2006
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection.
Int. J. Comput. Vis., 2006
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006
2005
SIAM J. Numer. Anal., 2005
Multiscale Model. Simul., 2005
Multiscale Model. Simul., 2005
Int. J. Imaging Syst. Technol., 2005
Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L<sup>1</sup> Functional.
Proceedings of the Variational, 2005
Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising.
Proceedings of the Variational, 2005
Proceedings of the Variational, 2005
Proceedings of the Variational, 2005
2004
IEEE Trans. Image Process., 2004
Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions.
J. Math. Imaging Vis., 2004
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004
Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
2003
IEEE Trans. Image Process., 2003
SIAM J. Numer. Anal., 2003
A level set approach for computing discontinuous solutions of Hamilton-Jacobi equations.
Math. Comput., 2003
Image Decomposition and Restoration Using Total Variation Minimization and the <i>H</i><sup>1</sup>.
Multiscale Model. Simul., 2003
Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing.
J. Sci. Comput., 2003
J. Sci. Comput., 2003
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Image decomposition, image restoration, and texture modeling using total variation minimization and the H/sup-1/ norm.
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
Applied mathematical sciences 153, Springer, ISBN: 0387954821, 2003
2002
SIAM J. Numer. Anal., 2002
Proceedings of the 13th IEEE Visualization Conference, 2002
2001
2000
Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal.
SIAM J. Sci. Comput., 2000
Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method.
Comput. Vis. Image Underst., 2000
1999
A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal.
Proceedings of the Scale-Space Theories in Computer Vision, 1999
1998
SIAM J. Appl. Math., 1998
1994
SIAM J. Sci. Comput., 1994
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994
1991
Solution of the hydrodynamic device model using high-order nonoscillatory shock capturing algorithms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991