Osher, Stanley

19 publications

TMLR 2026 VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley Osher

JMLR 2025 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method Ryan J. Tibshirani, Samy Wu Fung, Howard Heaton, Stanley Osher

NeurIPS 2025 Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency Kelvin Kan, Xingjian Li, Benjamin Zhang, Tuhin Sahai, Stanley Osher, Markos Katsoulakis

ICLR 2023 A Primal-Dual Framework for Transformers and Neural Networks Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard Baraniuk, Stanley Osher

ICML 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen

ICML 2023 Revisiting Over-Smoothing and Over-Squashing Using Ollivier-Ricci Curvature Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen

NeurIPS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho

ICLR 2022 GRAND++: Graph Neural Diffusion with a Source Term Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea Bertozzi, Stanley Osher, Bao Wang

NeurIPS 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley Osher, Thieu Vo

NeurIPS 2022 Improving Transformer with an Admixture of Attention Heads Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Duy Nguyen, Nhat Ho, Stanley Osher

ICML 2022 Improving Transformers with Probabilistic Attention Keys Tam Minh Nguyen, Tan Minh Nguyen, Dung D. D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard Baraniuk, Nhat Ho, Stanley Osher

NeurIPS 2021 FMMformer: Efficient and Flexible Transformer via Decomposed Near-Field and Far-Field Attention Tan Nguyen, Vai Suliafu, Stanley Osher, Long Chen, Bao Wang

NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations Hedi Xia, Vai Suliafu, Hangjie Ji, Tan Nguyen, Andrea Bertozzi, Stanley Osher, Bao Wang

NeurIPS 2020 MomentumRNN: Integrating Momentum into Recurrent Neural Networks Tan Nguyen, Richard Baraniuk, Andrea Bertozzi, Stanley Osher, Bao Wang

NeurIPS 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang, Zuoqiang Shi, Stanley Osher

ICLR 2019 Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley Osher, Yingyong Qi, Jack Xin

NeurIPS 2018 Deep Neural Nets with Interpolating Function as Output Activation Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley Osher

ICML 2013 Enhanced Statistical Rankings via Targeted Data Collection Braxton Osting, Christoph Brune, Stanley Osher

JMLR 2010 A Fast Hybrid Algorithm for Large-Scale L1-Regularized Logistic Regression Jianing Shi, Wotao Yin, Stanley Osher, Paul Sajda