Stanley Osher

20 papers · 2010–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+9 more ↓

🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Keyword Champion 🧭 Keyword Pioneer 🏆 Grand Slam 👑 Triple Crown 🚀 Conference Pioneer 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (108)

Venues

NeurIPS (8) ICML (4) JMLR (4) ICLR (3) AAAI (1)

Top co-authors

Bao Wang (6) Tan Nguyen (6) nhật Hồ (6) Tan Minh Nguyen (5) Richard Baraniuk (3) Andrea Bertozzi (3) Wotao Yin (2) Khai Nguyen (2) Tam Nguyen (2) Vai Suliafu (2)

Research topics

Machine Learning (18) Optimization & Theory · Machine Learning (15) Deep Learning (12) Architectures (9) Mathematics & Optimization (8) Optimization (7) Core Methods (4) Learning Types · Machine Learning (4) Optimization & Theory · Deep Learning (4) Application Areas (3) Mathematics (3) Techniques (3) Natural Language Processing (2) Generation (2) Learning Types · Deep Learning (2)

Keywords

transformer architecture (3) attention mechanism (3) multi-head attention (3) neural network optimization (2) language modeling (2) gradient descent (2) graph neural network (2) neural ordinary differential equation (2) adjoint state (2) feature learning (1) logistic regression (1) convex optimization (1) label propagation (1) feature selection (1) robust optimization (1) sequence modeling (1) ensemble learning (1) graph laplacian (1) adversarial learning (1) machine translation (1)

Papers

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation JMLR 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025 A Primal-Dual Framework for Transformers and Neural Networks ICLR 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data ICML 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 GRAND++: Graph Neural Diffusion with A Source Term ICLR 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NeurIPS 2022 Improving Transformers with Probabilistic Attention Keys ICML 2022 Improving Transformer with an Admixture of Attention Heads NeurIPS 2022 JFB: Jacobian-Free Backpropagation for Implicit Networks AAAI 2022 FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 MomentumRNN: Integrating Momentum into Recurrent Neural Networks NeurIPS 2020 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets ICLR 2019 Deep Neural Nets with Interpolating Function as Output Activation NeurIPS 2018 Enhanced statistical rankings via targeted data collection ICML 2013 A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010