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Stanley Osher

Identifiers

  • name variant Stanley Osher 0.60 · backfill

Papers (37)

  1. Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space cs.LG · 2026 · author #5
  2. Fixed-Point Neural Optimal Transport without Implicit Differentiation math.OC · 2026 · author #3
  3. On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians math.OC · 2026 · author #4
  4. Preconditioned Regularized Wasserstein Proximal Sampling stat.ML · 2025 · author #2
  5. A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations math.NA · 2024 · author #2
  6. Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks cs.LG · 2018 · author #4
  7. Constrained dynamical optimal transport and its Lagrangian formulation math.OC · 2018 · author #2
  8. Laplacian Smoothing Gradient Descent cs.LG · 2018 · author #1
  9. Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size math.OC · 2018 · author #4
  10. Optimal Human Navigation in Steep Terrain: a Hamilton-Jacobi-Bellman Approach math.OC · 2018 · author #5
  11. Algorithm for Hamilton-Jacobi equations in density space via a generalized Hopf formula math.NA · 2018 · author #3
  12. Generalized Proximal Smoothing for Phase Retrieval math.OC · 2018 · author #4
  13. A Splitting Method For Overcoming the Curse of Dimensionality in Hamilton-Jacobi Equations Arising from Nonlinear Optimal Control and Differential Games with Applications to Trajectory Generation math.OC · 2018 · author #3
  14. BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights cs.CV · 2018 · author #4
  15. Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications math.OC · 2017 · author #4
  16. Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for $k$-means Clustering math.OC · 2017 · author #4
  17. Time-Optimal Collaborative Guidance Using the Generalized Hopf Formula math.OC · 2017 · author #5
  18. Scientific Data Interpolation with Low Dimensional Manifold Model math.NA · 2017 · author #6
  19. Deep Relaxation: partial differential equations for optimizing deep neural networks cs.LG · 2017 · author #3
  20. Computations of optimal transport distance with Fisher information regularization math.NA · 2017 · author #3
  21. Algorithm for Overcoming the Curse of Dimensionality for State-dependent Hamilton-Jacobi equations math.OC · 2017 · author #3
  22. A fast algorithm for Earth Mover's Distance based on optimal transport and L1 type Regularization math.NA · 2016 · author #2
  23. Scalable low dimensional manifold model in the reconstruction of noisy and incomplete hyperspectral images cs.CV · 2016 · author #3
  24. Algorithms for Overcoming the Curse of Dimensionality for Certain Hamilton-Jacobi Equations Arising in Control Theory and Elsewhere math.OC · 2016 · author #2
  25. Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm cs.CV · 2016 · author #7
  26. A Harmonic Extension Approach for Collaborative Ranking cs.LG · 2016 · author #3
  27. A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity math.OC · 2015 · author #2
  28. Sparse Recovery via Differential Inclusions math.ST · 2014 · author #1
  29. Density matrix minimization with $\ell_1$ regularization math-ph · 2014 · author #3
  30. Projection to the Set of Shift Orthogonal Functions math.NA · 2014 · author #4
  31. A time continuation based fast approximate algorithm for compressed sensing related optimization math.OC · 2013 · author #2
  32. Compressed Modes for Variational Problems in Mathematics and Physics math.NA · 2013 · author #4
  33. Sparse Dynamics for Partial Differential Equations math.NA · 2012 · author #2
  34. Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising math.OC · 2011 · author #1
  35. A nonlinear PDE-based method for sparse deconvolution math.OC · 2011 · author #3
  36. A convex model for non-negative matrix factorization and dimensionality reduction on physical space stat.ML · 2011 · author #3
  37. A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery math.AP · 2009 · author #4

Mentions

  • 1406.7728 #1 · backfill · confidence 0.70 Stanley Osher
  • 1403.1525 #3 · backfill · confidence 0.70 Stanley Osher
  • 1402.5158 #4 · backfill · confidence 0.70 Stanley Osher
  • 1310.6475 #2 · backfill · confidence 0.70 Stanley Osher
  • 1308.1758 #4 · backfill · confidence 0.70 Stanley Osher
  • 2411.06278 #2 · arxiv_oai · confidence 0.70 Stanley Osher
  • 1212.4132 #2 · backfill · confidence 0.70 Stanley Osher
  • 1104.0262 #1 · backfill · confidence 0.70 Stanley Osher
  • 1104.0240 #3 · backfill · confidence 0.70 Stanley Osher
  • 2605.17232 #5 · arxiv_oai · confidence 0.70 Stanley Osher
  • 2509.01685 #2 · arxiv_oai · confidence 0.70 Stanley Osher
  • 1102.0844 #3 · backfill · confidence 0.70 Stanley Osher
  • 0905.2224 #4 · backfill · confidence 0.70 Stanley Osher

Frequent Coauthors