Stanley J. Osher

337 papers A* 18A 3B 4C 1Misc 5Journal 254Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Regularized Wasserstein Proximal Sampling Algorithms. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2026	J	`jnl`	Numerical analysis on neural network projected schemes for approximating one dimensional Wasserstein gradient flows. J. Comput. Phys. Xinzhe Zuo, Jiaxi Zhao, Shu Liu, Stanley J. Osher, Wuchen Li
2026	J	`jnl`	On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians. CoRR Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung
2026	J	`jnl`	Scalable Fixed-Point Framework for High-Dimensional Hamilton-Jacobi Equations. CoRR Yesom Park, Stanley J. Osher
2026	J	`jnl`	SymPlex: A Structure-Aware Transformer for Symbolic PDE Solving. CoRR Yesom Park, Annie C. Lu, Shao-Ching Huang, Qiyang Hu, Y. Sungtaek Ju, Stanley J. Osher
2026	J	`jnl`	VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction. Trans. Mach. Learn. Res. Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley J. Osher
2025	J	`jnl`	A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions. CoRR Elisa Negrini, Yuxuan Liu, Liu Yang, Stanley J. Osher, Hayden Schaeffer
2025	J	`jnl`	Dynamical Implicit Neural Representations. CoRR Yesom Park, Kelvin Kan, Thomas Flynn, Yi Huang, Shinjae Yoo, Stanley J. Osher, Xihaier Luo
2025	J	`jnl`	Efficient computation of mean field control based barycenters from reaction-diffusion systems. J. Comput. Phys. Arjun Vijaywargiya, Guosheng Fu, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation. CoRR Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung
2025	J	`jnl`	Fine-tune language models as multi-modal differential equation solvers. Neural Networks Liu Yang, Siting Liu, Stanley J. Osher
2025	J	`jnl`	Gradient-Adjusted Underdamped Langevin Dynamics for Sampling. SIAM/ASA J. Uncertain. Quantification Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Implicit Models: Expressive Power Scales with Test-Time Compute. CoRR Jialin Liu, Lisang Ding, Stanley J. Osher, Wotao Yin
2025	J	`jnl`	In-Context Operator Learning for Linear Propagator Models. CoRR Tingwei Meng, Moritz Voß, Nils Detering, Giulio Farolfi, Stanley J. Osher, Georg Menz
2025	C	`conf`	Kernel Expansions for High-Dimensional Mean-Field Control with Non-local Interactions. ACC Alexander Vidal, Samy Wu Fung, Stanley J. Osher, Luis Tenorio, Levon Nurbekyan
2025	J	`jnl`	Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method. J. Mach. Learn. Res. Ryan J. Tibshirani, Samy Wu Fung, Howard Heaton, Stanley J. Osher
2025	J	`jnl`	Neural Hamilton-Jacobi Characteristic Flows for Optimal Transport. CoRR Yesom Park, Shu Liu, Mo Zhou, Stanley J. Osher
2025	J	`jnl`	Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations. CoRR Yesom Park, Stanley J. Osher
2025	J	`jnl`	Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations. SIAM J. Sci. Comput. Yesom Park, Stanley J. Osher
2025	J	`jnl`	OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization. CoRR Kelvin Kan, Xingjian Li, Stanley J. Osher
2025	J	`jnl`	Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Preconditioned Regularized Wasserstein Proximal Sampling. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations. CoRR Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Recent Advances in Numerical Solutions for Hamilton-Jacobi PDEs. CoRR Tingwei Meng, Siting Liu, Samy Wu Fung, Stanley J. Osher
2025	J	`jnl`	Score-based neural ordinary differential equations for computing mean field control problems. J. Comput. Phys. Mo Zhou, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with L CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Stability of Transformers under Layer Normalization. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Krishna Kumar, Markos A. Katsoulakis
2025	J	`jnl`	Tensor Train Based Sampling Algorithms for Approximating Regularized Wasserstein Proximal Operators. SIAM/ASA J. Uncertain. Quantification Fuqun Han, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization. CoRR Zhiwei Zhang, Samy Wu Fung, Anastasios Kyrillidis, Stanley J. Osher, Moshe Y. Vardi
2025	J	`jnl`	Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems. CoRR Xingjian Li, Kelvin Kan, Deepanshu Verma, Krishna Kumar, Stanley J. Osher, Ján Drgona
2024	J	`jnl`	2D Empirical Transforms. Wavelets, Ridgelets and Curvelets revisited. CoRR Jérôme Gilles, Giang Tran, Stanley J. Osher
2024	J	`jnl`	A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations. CoRR Shu Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	A Primal-Dual Framework for Transformers and Neural Networks. CoRR Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2024	J	`jnl`	A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs. CoRR Tingwei Meng, Siting Liu, Wuchen Li, Stanley J. Osher
2024	J	`jnl`	A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. J. Comput. Phys. Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Bregman implementation of Meyer's CoRR Jérôme Gilles, Stanley J. Osher
2024	J	`jnl`	Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Fast Partial Fourier Transforms for Large-Scale Ptychography. CoRR Ricardo Parada, Samy Wu Fung, Stanley J. Osher
2024	J	`jnl`	Fried deconvolution. CoRR Jérôme Gilles, Stanley J. Osher
2024	J	`jnl`	Game Theory Meets Data Augmentation. IEEE Trans. Artif. Intell. Yuhan Kang, Samira Zare, Alex Tong Lin, Zhu Han, Stanley J. Osher, Hien Van Nguyen
2024	J	`jnl`	Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. J. Comput. Phys. Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
2024	J	`jnl`	Gradient-adjusted underdamped Langevin dynamics for sampling. CoRR Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Low-Light Phase Retrieval With Implicit Generative Priors. IEEE Trans. Image Process. Raunak Manekar, Elisa Negrini, Minh Pham, Daniel Jacobs, Jaideep Srivastava, Stanley J. Osher, Jianwei Miao
2024	J	`jnl`	Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows. CoRR Xinzhe Zuo, Jiaxi Zhao, Shu Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method. CoRR Shu Liu, Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws. CoRR Liu Yang, Stanley J. Osher
2024	J	`jnl`	PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws. J. Comput. Phys. Liu Yang, Stanley J. Osher
2024	J	`jnl`	Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems. CoRR Mo Zhou, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators. CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Three-Operator Splitting for Learning to Predict Equilibria in Convex Games. SIAM J. Math. Data Sci. Daniel McKenzie, Howard Heaton, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2024	J	`jnl`	VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction. CoRR Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley J. Osher
2024	J	`jnl`	Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
2024	J	`jnl`	Wavelet Burst Accumulation for turbulence mitigation. CoRR Jérôme Gilles, Stanley J. Osher
2023	J	`jnl`	A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
2023	A*	`conf`	A Primal-Dual Framework for Transformers and Neural Networks. ICLR Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2023	Misc	`conf`	A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys. ICASSP 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
2023	J	`jnl`	A fast proximal gradient method and convergence analysis for dynamic mean field planning. Math. Comput. Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2023	J	`jnl`	A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. CoRR Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	A kernel formula for regularized Wasserstein proximal operators. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2023	J	`jnl`	A primal-dual approach for solving conservation laws with implicit in time approximations. J. Comput. Phys. Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
2023	J	`jnl`	Computational mean-field games on manifolds. J. Comput. Phys. Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2023	J	`jnl`	Controlling conservation laws I: Entropy-entropy flux. J. Comput. Phys. Wuchen Li, Siting Liu, Stanley J. Osher
2023	J	`jnl`	Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. CoRR Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
2023	J	`jnl`	High order computation of optimal transport, mean field planning, and mean field games. CoRR Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order computation of optimal transport, mean field planning, and potential mean field games. J. Comput. Phys. Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. CoRR Guosheng Fu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. J. Comput. Phys. Guosheng Fu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	In-Context Operator Learning for Differential Equation Problems. CoRR Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher
2023	A*	`conf`	Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. ICML Hien Dang, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen
2023	J	`jnl`	Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. CoRR Hien Dang, Tho Tran, Tan M. Nguyen, Stanley J. Osher, Hung Tran-The, Nhat Ho
2023	J	`jnl`	Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. CoRR Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language. CoRR Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher
2023	A*	`conf`	Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature. ICML Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen
2022	J	`jnl`	A Mean Field Game Inverse Problem. J. Sci. Comput. Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. CoRR Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher
2022	J	`jnl`	A primal-dual approach for solving conservation laws with implicit in time approximations. CoRR Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
2022	J	`jnl`	Computational mean-field information dynamics associated with reaction-diffusion equations. J. Comput. Phys. Wuchen Li, Wonjun Lee, Stanley J. Osher
2022	J	`jnl`	Controlling conservation laws II: Compressible Navier-Stokes equations. J. Comput. Phys. Wuchen Li, Siting Liu, Stanley J. Osher
2022	J	`jnl`	Controlling conservation laws II: compressible Navier-Stokes equations. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2022	J	`jnl`	Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. IEEE Trans. Veh. Technol. Hao Gao, Wonjun Lee, Yuhan Kang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2022	A*	`conf`	FourierFormer: Transformer Meets Generalized Fourier Integral Theorem. NeurIPS Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho
2022	A*	`conf`	GRAND++: Graph Neural Diffusion with A Source Term. ICLR Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2022	J	`jnl`	Improving Generative Flow Networks with Path Regularization. CoRR Anh Do, Duy Dinh, Tan M. Nguyen, Khuong Nguyen, Stanley J. Osher, Nhat Ho
2022	A*	`conf`	Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method. NeurIPS Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley J. Osher, Thieu Vo
2022	A*	`conf`	Improving Transformer with an Admixture of Attention Heads. NeurIPS Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher
2022	A*	`conf`	Improving Transformers with Probabilistic Attention Keys. ICML Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
2022	A*	`conf`	JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2022	—	`conf`	Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. MSML Tan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang
2022	J	`jnl`	Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. CoRR Tan M. Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang
2022	J	`jnl`	Multi-Agent Shape Control with Optimal Transport. CoRR Alex Tong Lin, Stanley J. Osher
2022	J	`jnl`	Neural ODE Control for Trajectory Approximation of Continuity Equation. CoRR Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
2022	J	`jnl`	Neural ODE Control for Trajectory Approximation of Continuity Equation. IEEE Control. Syst. Lett. Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
2022	J	`jnl`	Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2022	J	`jnl`	Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. CoRR Alex Tong Lin, Daniel Eckhardt, Robert Scott Martin, Stanley J. Osher, Adrian S. Wong
2022	J	`jnl`	Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2022	J	`jnl`	Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2022	J	`jnl`	Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan
2022	J	`jnl`	Transformer with Fourier Integral Attentions. CoRR Tan M. Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho
2022	J	`jnl`	Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2021	J	`jnl`	A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. CoRR Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2021	—	`conf`	A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
2021	—	`conf`	Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	J	`jnl`	Computational Methods for First-Order Nonlocal Mean Field Games with Applications. SIAM J. Numer. Anal. Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2021	J	`jnl`	Controlling Propagation of Epidemics via Mean-Field Control. SIAM J. Appl. Math. Wonjun Lee, Siting Liu, Hamidou Tembine, Wuchen Li, Stanley J. Osher
2021	J	`jnl`	Controlling conservation laws I: entropy-entropy flux. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2021	—	`conf`	Decentralized Multi-Agents by Imitation of a Centralized Controller. MSML Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher
2021	A*	`conf`	FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. NeurIPS Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang
2021	J	`jnl`	FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. CoRR Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang
2021	J	`jnl`	Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2021	J	`jnl`	Generalized unnormalized optimal transport and its fast algorithms. J. Comput. Phys. Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
2021	A*	`conf`	Heavy Ball Neural Ordinary Differential Equations. NeurIPS Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2021	J	`jnl`	Heavy Ball Neural Ordinary Differential Equations. CoRR Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2021	J	`jnl`	How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies. CoRR Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher
2021	J	`jnl`	Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games. IEEE Internet Things J. Yuhan Kang, Siting Liu, Hongliang Zhang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	J	`jnl`	Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
2021	J	`jnl`	Learn to Predict Equilibria via Fixed Point Networks. CoRR Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2021	J	`jnl`	Task Selection and Collision-Free Route Planning for Mobile Crowdsensing Using Multi-Population Mean-Field Games. IEEE Trans. Green Commun. Netw. Yuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	—	`conf`	Task Selection and Route Planning for Mobile Crowd Sensing Using Multi-Population Mean-Field Games. ICC Yuhan Kang, Siting Liu, Hongliang Zhang, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	J	`jnl`	Transformer with a Mixture of Gaussian Keys. CoRR Tam Nguyen, Tan M. Nguyen, Dung Le, Khuong Nguyen, Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
2021	—	`conf`	Wasserstein Proximal of GANs. GSI Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2021	J	`jnl`	Wasserstein Proximal of GANs. CoRR Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2020	—	`conf`	A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. CDC Christian Parkinson, Andrea L. Bertozzi, Stanley J. Osher
2020	J	`jnl`	A Model for Optimal Human Navigation with Stochastic Effects. SIAM J. Appl. Math. Christian Parkinson, David Arnold, Andrea L. Bertozzi, Stanley J. Osher
2020	J	`jnl`	A mean field game inverse problem. CoRR Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2020	—	`conf`	DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. MSML Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J. Osher
2020	J	`jnl`	EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond. SIAM J. Math. Data Sci. Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher
2020	B	`conf`	Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. GLOBECOM Hao Gao, Wonjun Lee, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2020	J	`jnl`	Exploring Private Federated Learning with Laplacian Smoothing. CoRR Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao
2020	J	`jnl`	Generalized Unnormalized Optimal Transport and its fast algorithms. CoRR Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
2020	A*	`conf`	MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2020	J	`jnl`	MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2020	J	`jnl`	Projecting to Manifolds via Unsupervised Learning. CoRR Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2020	—	`conf`	Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin
2020	J	`jnl`	Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. CoRR Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher
2019	J	`jnl`	A Deterministic Approach to Avoid Saddle Points. CoRR Lisa Maria Kreusser, Stanley J. Osher, Bao Wang
2019	J	`jnl`	A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
2019	J	`jnl`	Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. J. Sci. Comput. Yat Tin Chow, Wuchen Li, Stanley J. Osher, Wotao Yin
2019	J	`jnl`	Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations. J. Comput. Phys. Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin
2019	J	`jnl`	Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. Jun Liu, Stanley J. Osher
2019	J	`jnl`	CESMA: Centralized Expert Supervises Multi-Agents. CoRR Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher
2019	J	`jnl`	DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. CoRR Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher
2019	J	`jnl`	Diagnosing Forward Operator Error Using Optimal Transport. J. Sci. Comput. Michael A. Puthawala, Cory D. Hauck, Stanley J. Osher
2019	J	`jnl`	Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. CoRR Bao Wang, Stanley J. Osher
2019	J	`jnl`	Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background. IEEE Trans. Signal Process. Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher
2019	J	`jnl`	Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. CoRR Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
2019	J	`jnl`	Modeling Environmental Crime in Protected Areas Using the Level Set Method. SIAM J. Appl. Math. David J. Arnold, Dayne Fernandez, Ruizhe Jia, Christian Parkinson, Deborah Tonne, Yotam Yaniv, Andrea L. Bertozzi, Stanley J. Osher
2019	A*	`conf`	ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS Bao Wang, Zuoqiang Shi, Stanley J. Osher
2019	J	`jnl`	Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size. SIAM J. Numer. Anal. Matt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher
2019	—	`conf`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	Unnormalized optimal transport. J. Comput. Phys. Wilfrid Gangbo, Wuchen Li, Stanley J. Osher, Michael A. Puthawala
2018	J	`jnl`	A Parallel Method for Earth Mover's Distance. J. Sci. Comput. Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo
2018	—	`conf`	A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems. CCTA Matthew R. Kirchner, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher
2018	J	`jnl`	A review of level-set methods and some recent applications. J. Comput. Phys. Frédéric Gibou, Ronald Fedkiw, Stanley J. Osher
2018	J	`jnl`	Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
2018	J	`jnl`	BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Computations of Optimal Transport Distance with Fisher Information Regularization. J. Sci. Comput. Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Deep Learning with Data Dependent Implicit Activation Function. CoRR Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	A*	`conf`	Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	EnResNet: ResNet Ensemble via the Feynman-Kac Formalism. CoRR Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model. J. Sci. Comput. Zuoqiang Shi, Stanley J. Osher, Wei Zhu
2018	J	`jnl`	Laplacian Smoothing Gradient Descent. CoRR Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
2018	J	`jnl`	Mathematical Analysis of Adversarial Attacks. CoRR Zehao Dou, Stanley J. Osher, Bao Wang
2018	J	`jnl`	Parallel redistancing using the Hopf-Lax formula. J. Comput. Phys. Michael Royston, Andre Pradhana, Byungjoon Lee, Yat Tin Chow, Wotao Yin, Joseph Teran, Stanley J. Osher
2018	—	`conf`	Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. WHISPERS Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher
2018	J	`jnl`	Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
2018	J	`jnl`	Time-Optimal Collaborative Guidance Using the Generalized Hopf Formula. IEEE Control. Syst. Lett. Matthew R. Kirchner, Robert T. Mar, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher, Yat Tin Chow
2018	J	`jnl`	Unbalanced and Partial L J. Sci. Comput. Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2017	J	`jnl`	A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems. CoRR Matthew R. Kirchner, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher
2017	—	`conf`	Accelerated high-resolution EEG source imaging. NER Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu
2017	J	`jnl`	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. Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin
2017	J	`jnl`	An Efficient Primal-Dual Method for the Obstacle Problem. J. Sci. Comput. Dominique Zosso, Braxton Osting, Mandy (Mengqi) Xia, Stanley J. Osher
2017	J	`jnl`	Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin
2017	J	`jnl`	Deep Relaxation: partial differential equations for optimizing deep neural networks. CoRR Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	J	`jnl`	Low Dimensional Manifold Model for Image Processing. SIAM J. Imaging Sci. Stanley J. Osher, Zuoqiang Shi, Wei Zhu
2017	J	`jnl`	On the Support of Compressed Modes. SIAM J. Math. Anal. Farzin Barekat, Russel Caflisch, Stanley J. Osher
2017	Misc	`conf`	Partial differential equations for training deep neural networks. ACSSC Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	Misc	`conf`	Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher
2017	J	`jnl`	Revisiting the redistancing problem using the Hopf-Lax formula. J. Comput. Phys. Byungjoon Lee, Jérôme Darbon, Stanley J. Osher, Myungjoo Kang
2017	J	`jnl`	Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
2017	J	`jnl`	Time-Optimal Collaborative Guidance using the Generalized Hopf Formula. CoRR Matthew R. Kirchner, Robert T. Mar, Gary A. Hewer, Jérôme Darbon, Stanley J. Osher, Yat Tin Chow
2017	J	`jnl`	Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang
2017	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2017	J	`jnl`	Weighted Nonlocal Laplacian on Interpolation from Sparse Data. J. Sci. Comput. Zuoqiang Shi, Stanley J. Osher, Wei Zhu
2016	J	`jnl`	A Harmonic Extension Approach for Collaborative Ranking. CoRR Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi
2016	J	`jnl`	A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2016	—	`conf`	Graph fractional-order total variation EEG source reconstruction. EMBC Ying Li, Jing Qin, Stanley J. Osher, Wentai Liu
2016	J	`jnl`	Low dimensional manifold model in hyperspectral image reconstruction. CoRR Zuoqiang Shi, Wei Zhu, Stanley J. Osher
2016	J	`jnl`	Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso
2016	J	`jnl`	Wavelet burst accumulation for turbulence mitigation. J. Electronic Imaging Jérôme Gilles, Stanley J. Osher
2015	—	`conf`	A Dirichlet Energy Criterion for Graph-Based Image Segmentation. ICDM Workshops Dominique Zosso, Braxton Osting, Stanley J. Osher
2015	J	`jnl`	A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2015	J	`jnl`	A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin
2015	J	`jnl`	A time continuation based fast approximate algorithm for compressed sensing related optimization. Math. Comput. Farzin Barekat, Stanley J. Osher
2015	J	`jnl`	An L SIAM J. Appl. Math. Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher
2015	—	`conf`	Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. MCO (1) Yifei Lou, Stanley J. Osher, Jack Xin
2015	J	`jnl`	Non-Local Retinex - A Unifying Framework and Beyond. SIAM J. Imaging Sci. Dominique Zosso, Giang Tran, Stanley J. Osher
2015	J	`jnl`	Nonlocal Structure Tensor Functionals for Image Regularization. IEEE Trans. Computational Imaging Stamatios Lefkimmiatis, Stanley J. Osher
2015	J	`jnl`	Normal Estimation of a Transparent Object Using a Video. IEEE Trans. Pattern Anal. Mach. Intell. Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang, Tony F. Chan, Stanley J. Osher
2015	J	`jnl`	Real-Time Adaptive Video Compression. SIAM J. Sci. Comput. Hayden Schaeffer, Yi Yang, Hongkai Zhao, Stanley J. Osher
2015	J	`jnl`	Space-Time Regularization for Video Decompression. SIAM J. Imaging Sci. Hayden Schaeffer, Yi Yang, Stanley J. Osher
2015	—	`conf`	Vectorial non-local total variation regularization for calibration-free parallel MRI reconstruction. ISBI Stamatios Lefkimmiatis, Andres Saucedo, Stanley J. Osher, Kyunghyun Sung
2014	J	`jnl`	2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited. SIAM J. Imaging Sci. Jérôme Gilles, Giang Tran, Stanley J. Osher
2014	J	`jnl`	A Splitting Method for Orthogonality Constrained Problems. J. Sci. Comput. Rongjie Lai, Stanley J. Osher
2014	J	`jnl`	On the Compressive Spectral Method. Multiscale Model. Simul. Alan Mackey, Hayden Schaeffer, Stanley J. Osher
2014	J	`jnl`	Optimal data collection for informative rankings expose well-connected graphs. J. Mach. Learn. Res. Braxton Osting, Christoph Brune, Stanley J. Osher
2013	J	`jnl`	A Low Patch-Rank Interpretation of Texture. SIAM J. Imaging Sci. Hayden Schaeffer, Stanley J. Osher
2013	J	`jnl`	A Simple Compressive Sensing Algorithm for Parallel Many-Core Architectures. J. Signal Process. Syst. Alexandre Borghi, Jérôme Darbon, Sylvain Peyronnet, Tony F. Chan, Stanley J. Osher
2013	J	`jnl`	A dual split Bregman method for fast ℓ Math. Comput. Yi Yang, Michael Möller, Stanley J. Osher
2013	—	`conf`	A unifying retinex model based on non-local differential operators. Computational Imaging Dominique Zosso, Giang Tran, Stanley J. Osher
2013	J	`jnl`	An adaptive inverse scale space method for compressed sensing. Math. Comput. Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher
2013	J	`jnl`	Bregmanized Domain Decomposition for Image Restoration. J. Sci. Comput. Andreas Langer, Stanley J. Osher, Carola-Bibiane Schönlieb
2013	—	`conf`	Enhanced statistical rankings via targeted data collection. ICML (1) Braxton Osting, Christoph Brune, Stanley J. Osher
2013	J	`jnl`	Error Forgetting of Bregman Iteration. J. Sci. Comput. Wotao Yin, Stanley J. Osher
2013	J	`jnl`	Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit. J. Sci. Comput. Ming Yan, Yi Yang, Stanley J. Osher
2013	Misc	`conf`	Mixing space-time derivatives for video compressive sensing. ACSSC Yi Yang, Hayden Schaeffer, Wotao Yin, Stanley J. Osher
2012	J	`jnl`	A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. IEEE Trans. Image Process. Ernie Esser, Michael Möller, Stanley J. Osher, Guillermo Sapiro, Jack Xin
2012	J	`jnl`	Efficient Algorithm for Level Set Method Preserving Distance Function. IEEE Trans. Image Process. Virginia Estellers, Dominique Zosso, Rongjie Lai, Stanley J. Osher, Jean-Philippe Thiran, Xavier Bresson
2012	—	`conf`	Hybrid regularization for mri reconstruction with static field inhomogeneity correction. ISBI Ryan Compton, Stanley J. Osher, Louis-S. Bouchard
2012	J	`jnl`	Multi-Channel l IEEE Trans. Speech Audio Process. Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher
2012	—	`conf`	Multigrid Narrow Band Surface Reconstruction via Level Set Functions. ISVC (1) Jian Ye, Igor Yanovsky, Bin Dong, Rima Gandlin, Achi Brandt, Stanley J. Osher
2012	J	`jnl`	Multiple Aerosol Unmixing by the Split Bregman Algorithm. IEEE Trans. Geosci. Remote. Sens. Russell E. Warren, Stanley J. Osher, Richard G. Vanderbeek
2012	J	`jnl`	Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs CoRR Braxton Osting, Christoph Brune, Stanley J. Osher
2012	J	`jnl`	Robust 1-bit Compressive Sensing Using Adaptive Outlier Pursuit. IEEE Trans. Signal Process. Ming Yan, Yi Yang, Stanley J. Osher
2011	J	`jnl`	A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. Xiaoqun Zhang, Martin Burger, Stanley J. Osher
2011	J	`jnl`	A local discontinuous Galerkin method for directly solving Hamilton-Jacobi equations. J. Comput. Phys. Jue Yan, Stanley J. Osher
2011	A*	`conf`	Adequate reconstruction of transparent objects on a shoestring budget. CVPR Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang, Tony F. Chan, Stanley J. Osher
2011	A*	`conf`	An L1-based variational model for Retinex theory and its application to medical images. CVPR Wenye Ma, Jean-Michel Morel, Stanley J. Osher, Aichi Chien
2011	J	`jnl`	Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising CoRR Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin
2011	B	`conf`	Fast edge-filtered image upsampling. ICIP Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, Arthur W. Toga, John D. Van Horn
2011	J	`jnl`	Make it home: automatic optimization of furniture arrangement. ACM Trans. Graph. Lap-Fai Yu, Sai Kit Yeung, Chi-Keung Tang, Demetri Terzopoulos, Tony F. Chan, Stanley J. Osher
2010	—	`conf`	A Compressive Sensing Algorithm for Many-Core Architectures. ISVC (2) Alexandre Borghi, Jérôme Darbon, Sylvain Peyronnet, Tony F. Chan, Stanley J. Osher
2010	J	`jnl`	A Fast Hybrid Algorithm for Large-Scale J. Mach. Learn. Res. Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda
2010	J	`jnl`	A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery. SIAM J. Sci. Comput. Bin Dong, Aichi Chien, Zuowei Shen, Stanley J. Osher
2010	J	`jnl`	A Nonlinear PDE-Based Method for Sparse Deconvolution. Multiscale Model. Simul. Yu Mao, Bin Dong, Stanley J. Osher
2010	B	`conf`	A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. ICIP Arthur Szlam, Zhaohui Guo, Stanley J. Osher
2010	J	`jnl`	Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher
2010	A	`conf`	Convexity and fast speech extraction by split bregman method. INTERSPEECH Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher
2010	J	`jnl`	Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography. IEEE Trans. Image Process. Yu Mao, Benjamin P. Fahimian, Stanley J. Osher, Jianwei Miao
2010	J	`jnl`	Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction. J. Sci. Comput. Tom Goldstein, Xavier Bresson, Stanley J. Osher
2010	J	`jnl`	Image Recovery via Nonlocal Operators. J. Sci. Comput. Yifei Lou, Xiaoqun Zhang, Stanley J. Osher, Andrea L. Bertozzi
2010	A	`conf`	Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method. INTERSPEECH Wenye Ma, Meng Yu, Jack Xin, Stanley J. Osher
2010	—	`conf`	Segmentation for Hyperspectral Images with Priors. ISVC (2) Jian Ye, Todd Wittman, Xavier Bresson, Stanley J. Osher
2010	—	`conf`	Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation. ISVC (2) Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley J. Osher
2009	—	`conf`	A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance. ISVC (1) Bin Dong, Eric Savitsky, Stanley J. Osher
2009	B	`conf`	A note on the Bregmanized Total Variation and dual forms. ICIP Jérôme Darbon, Igor Ciril, Antonio Marquina, Tony F. Chan, Stanley J. Osher
2009	J	`jnl`	Comparing registration methods for mapping brain change using tensor-based morphometry. Medical Image Anal. Igor Yanovsky, Alex D. Leow, Suh Lee, Stanley J. Osher, Paul M. Thompson
2009	J	`jnl`	Convergence of the linearized Bregman iteration for ℓ Math. Comput. Jian-Feng Cai, Stanley J. Osher, Zuowei Shen
2009	—	`conf`	Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement. SSVM Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga
2009	J	`jnl`	Linearized Bregman Iterations for Frame-Based Image Deblurring. SIAM J. Imaging Sci. Jian-Feng Cai, Stanley J. Osher, Zuowei Shen
2009	J	`jnl`	Linearized Bregman iterations for compressed sensing. Math. Comput. Jian-Feng Cai, Stanley J. Osher, Zuowei Shen
2009	—	`conf`	MRI Resolution Enhancement Using Total Variation Regularization. ISBI Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga
2009	J	`jnl`	Split Bregman Methods and Frame Based Image Restoration. Multiscale Model. Simul. Jian-Feng Cai, Stanley J. Osher, Zuowei Shen
2009	J	`jnl`	The Split Bregman Method for L1-Regularized Problems. SIAM J. Imaging Sci. Tom Goldstein, Stanley J. Osher
2008	J	`jnl`	A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model. SIAM J. Imaging Sci. Jianing Shi, Stanley J. Osher
2008	—	`conf`	Asymmetric and symmetric unbiased image registration: Statistical assessment of performance. CVPR Workshops Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow
2008	J	`jnl`	Bregman Iterative Algorithms for \ell SIAM J. Imaging Sci. Wotao Yin, Stanley J. Osher, Donald Goldfarb, Jérôme Darbon
2008	J	`jnl`	Essentially Non-Oscillatory Adaptive Tree Methods. J. Sci. Comput. Thomas C. Cecil, Stanley J. Osher, Jianliang Qian
2008	—	`conf`	Fast nonlocal filtering applied to electron cryomicroscopy. ISBI Jérôme Darbon, Alexandre Cunha, Tony F. Chan, Stanley J. Osher, Grant J. Jensen
2008	J	`jnl`	Image Super-Resolution by TV-Regularization and Bregman Iteration. J. Sci. Comput. Antonio Marquina, Stanley J. Osher
2008	J	`jnl`	Legendre-transform-based fast sweeping methods for static Hamilton-Jacobi equations on triangulated meshes. J. Comput. Phys. Chiu-Yen Kao, Stanley J. Osher, Jianliang Qian
2008	J	`jnl`	Level Set Based Nonlocal Surface Restoration. Multiscale Model. Simul. Bin Dong, Jian Ye, Stanley J. Osher, Ivo D. Dinov
2008	—	`conf`	Level Set Based Surface Capturing in 3D Medical Images. MICCAI (1) Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanley J. Osher
2008	—	`conf`	Multimodal unbiased image matching via mutual information. Computational Imaging Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow
2008	J	`jnl`	Nonlocal Operators with Applications to Image Processing. Multiscale Model. Simul. Guy Gilboa, Stanley J. Osher
2008	J	`jnl`	Preface. J. Sci. Comput. Stanley J. Osher
2008	J	`jnl`	Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher
2008	J	`jnl`	Topology Preserving Linear Filtering Applied to Medical Imaging. SIAM J. Imaging Sci. Antoni Buades, Aichi Chien, Jean-Michel Morel, Stanley J. Osher
2008	—	`conf`	Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI). ISBI Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Xue Hua, David W. Shattuck, Arthur W. Toga, Alex D. Leow
2007	—	`conf`	A TV-Stokes Denoising Algorithm. SSVM Talal Rahman, Xue-Cheng Tai, Stanley J. Osher
2007	J	`jnl`	A comparison of three total variation based texture extraction models. J. Vis. Commun. Image Represent. Wotao Yin, Donald Goldfarb, Stanley J. Osher
2007	J	`jnl`	Direct cortical mapping via solving partial differential equations on implicit surfaces. Medical Image Anal. Yonggang Shi, Paul M. Thompson, Ivo D. Dinov, Stanley J. Osher, Arthur W. Toga
2007	J	`jnl`	Fast Global Minimization of the Active Contour/Snake Model. J. Math. Imaging Vis. Xavier Bresson, Selim Esedoglu, Pierre Vandergheynst, Jean-Philippe Thiran, Stanley J. Osher
2007	J	`jnl`	Incorporating topological derivatives into shape derivatives based level set methods. J. Comput. Phys. Lin He, Chiu-Yen Kao, Stanley J. Osher
2007	J	`jnl`	Inverse Total Variation Flow. Multiscale Model. Simul. Martin Burger, Klaus Frick, Stanley J. Osher, Otmar Scherzer
2007	J	`jnl`	Iterative Regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising. IEEE Trans. Image Process. Jinjun Xu, Stanley J. Osher
2007	J	`jnl`	Level Set Based Simulations of Two-Phase Oil-Water Flows in Pipes. J. Sci. Comput. Myungjoo Kang, Hyeseon Shim, Stanley J. Osher
2007	—	`conf`	Log-unbiased large-deformation image registration. VISAPP (1) Igor Yanovsky, Stanley J. Osher, Paul M. Thompson, Alex D. Leow
2007	A*	`conf`	Multiphase Segmentation of Deformation using Logarithmic Priors. CVPR Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Luminita A. Vese, Alex D. Leow
2007	J	`jnl`	Nonlocal Linear Image Regularization and Supervised Segmentation. Multiscale Model. Simul. Guy Gilboa, Stanley J. Osher
2007	—	`conf`	Nonlocal evolutions for image regularization. Computational Imaging Guy Gilboa, Stanley J. Osher
2007	J	`jnl`	Preface. J. Sci. Comput. Stanley J. Osher
2007	—	`conf`	Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative. SSVM Lin He, Stanley J. Osher
2007	J	`jnl`	The Total Variation Regularized L Multiscale Model. Simul. Wotao Yin, Donald Goldfarb, Stanley J. Osher
2007	A*	`conf`	Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation. CVPR Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow
2006	J	`jnl`	A Level Set Framework for Capturing Multi-Valued Solutions of Nonlinear First-Order Equations. J. Sci. Comput. Hailiang Liu, Li-Tien Cheng, Stanley J. Osher
2006	Misc	`conf`	Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach. SYNASC Luminita A. Vese, Stanley J. Osher
2006	J	`jnl`	Denoising by BV-duality. J. Sci. Comput. Stefan Kindermann, Stanley J. Osher, Jinjun Xu
2006	J	`jnl`	Iterative Total Variation Regularization with Non-Quadratic Fidelity. J. Math. Imaging Vis. Lin He, Martin Burger, Stanley J. Osher
2006	J	`jnl`	Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. Int. J. Comput. Vis. Daniel Cremers, Stanley J. Osher, Stefano Soatto
2006	J	`jnl`	Simplex free adaptive tree fast sweeping and evolution methods for solving level set equations in arbitrary dimension. J. Comput. Phys. Thomas C. Cecil, Stanley J. Osher, Jianliang Qian
2006	J	`jnl`	Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2005	J	`jnl`	An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin
2005	J	`jnl`	Blind deconvolution using TV regularization and Bregman iteration. Int. J. Imaging Syst. Technol. Lin He, Antonio Marquina, Stanley J. Osher
2005	J	`jnl`	Deblurring and Denoising of Images by Nonlocal Functionals. Multiscale Model. Simul. Stefan Kindermann, Stanley J. Osher, Peter W. Jones
2005	J	`jnl`	Fast Sweeping Methods for Static Hamilton-Jacobi Equations. SIAM J. Numer. Anal. Chiu-Yen Kao, Stanley J. Osher, Yen-Hsi Tsai
2005	—	`conf`	Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising. VLSM Shingyu Leung, Stanley J. Osher
2005	—	`conf`	Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L VLSM Wotao Yin, Donald Goldfarb, Stanley J. Osher
2005	—	`conf`	Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa
2005	—	`conf`	Structure-Texture Decomposition by a TV-Gabor Model. VLSM Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2004	J	`jnl`	Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions. J. Math. Imaging Vis. Luminita A. Vese, Stanley J. Osher
2004	—	`conf`	Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. DAGM-Symposium Daniel Cremers, Stanley J. Osher, Stefano Soatto
2004	—	`conf`	Level set and PDE methods for computer graphics. SIGGRAPH Course Notes David E. Breen, Ron Fedkiw, Ken Museth, Stanley J. Osher, Guillermo Sapiro, Ross T. Whitaker
2004	J	`jnl`	Noise removal using smoothed normals and surface fitting. IEEE Trans. Image Process. Ola Marius Lysaker, Stanley J. Osher, Xue-Cheng Tai
2003	—	`conf`	3D Shape from Anisotropic Diffusion. CVPR (1) Paolo Favaro, Stanley J. Osher, Stefano Soatto, Luminita A. Vese
2003	J	`jnl`	A Level Set Approach for the Numerical Simulation of Dendritic Growth. J. Sci. Comput. Frédéric Gibou, Ronald Fedkiw, Russel E. Caflisch, Stanley J. Osher
2003	J	`jnl`	A level set approach for computing discontinuous solutions of Hamilton-Jacobi equations. Math. Comput. Yen-Hsi Richard Tsai, Yoshikazu Giga, Stanley J. Osher
2003	—	`conf`	Computational Anatomy and Implicit Object Representation: A Level Set Approach. WBIR Wei-Hsun Liao, Luminita A. Vese, Sung-Cheng Huang, Marvin Bergsneider, Stanley J. Osher
2003	J	`jnl`	Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations. SIAM J. Numer. Anal. Yen-Hsi Richard Tsai, Li-Tien Cheng, Stanley J. Osher, Hong-Kai Zhao
2003	J	`jnl`	Geometric surface processing via normal maps. ACM Trans. Graph. Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher
2003	J	`jnl`	Image Decomposition and Restoration Using Total Variation Minimization and the Multiscale Model. Simul. Stanley J. Osher, Andres Fco. Solé, Luminita A. Vese
2003	—	`conf`	Image decomposition, image restoration, and texture modeling using total variation minimization and the H/sup-1/ norm. ICIP (1) Stanley J. Osher, Andres Fco. Solé, Luminita A. Vese
2003	—	`conf`	Image filling-in in a decomposition space. ICIP (1) Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher
2003	—	`book`	Level set methods and dynamic implicit surfaces. Stanley J. Osher, Ronald Fedkiw
2003	—	`conf`	Level set methods in image science. ICIP (2) Yen-Hsi Tsai, Stanley J. Osher
2003	J	`jnl`	Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing. J. Sci. Comput. Luminita A. Vese, Stanley J. Osher
2003	—	`conf`	New framework for object warping: semi-Lagrangian level set approach. ICIP (3) Wei-Hsun Liao, Hillary Protas, Luminita A. Vese, Sung-Cheng Huang, Marvin Bergsneider, Stanley J. Osher
2003	—	`conf`	Simultaneous Structure and Texture Image Inpainting. CVPR (2) Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher
2003	J	`jnl`	Simultaneous structure and texture image inpainting. IEEE Trans. Image Process. Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley J. Osher
2002	A	`conf`	Geometric Surface Smoothing via Anisotropic Diffusion of Normals. IEEE Visualization Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher
2002	J	`jnl`	Numerical Methods for SIAM J. Numer. Anal. Luminita A. Vese, Stanley J. Osher
2001	J	`jnl`	Diffusion-Generated Motion by Mean Curvature for Filaments. J. Nonlinear Sci. Steven J. Ruuth, Barry Merriman, Jack Xin, Stanley J. Osher
2001	J	`jnl`	The digital TV filter and nonlinear denoising. IEEE Trans. Image Process. Tony F. Chan, Stanley J. Osher, Jianhong Shen
2000	J	`jnl`	Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal. SIAM J. Sci. Comput. Antonio Marquina, Stanley J. Osher
2000	J	`jnl`	Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method. Comput. Vis. Image Underst. Hong-Kai Zhao, Stanley J. Osher, Barry Merriman, Myungjoo Kang
1999	—	`conf`	A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal. Scale-Space Antonio Marquina, Stanley J. Osher
1998	J	`jnl`	Regularization of Ill-Posed Problems Via the Level Set Approach. SIAM J. Appl. Math. Eduard Harabetian, Stanley J. Osher
1994	J	`jnl`	Fast Wavelet Based Algorithms for Linear Evolution Equations. SIAM J. Sci. Comput. Björn Engquist, Stanley J. Osher, Sifen Zhong
1994	—	`conf`	Total Variation Based Image Restoration with Free Local Constraints. ICIP (1) Leonid I. Rudin, Stanley J. Osher
1991	J	`jnl`	Solution of the hydrodynamic device model using high-order nonoscillatory shock capturing algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Emad Fatemi, Joseph W. Jerome, Stanley J. Osher