Osher, Stanley J.
- Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
2020/02/24 by Bao Wang, Tan M. Nguyen, Wang, Bao +7 · 4 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
- Heavy Ball Neural Ordinary Differential Equations
2021/10/10 by Hedi Xia, Xia, Hedi, Vai Suliafu +11 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #68T07 #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #I.2 #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
- PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
2024/01/14 by Yang, Liu, Stanley Osher, Osher, Stanley J. · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Numerical Analysis (math.NA)
- Deep Neural Nets with Interpolating Function as Output Activation
2018/02/01 by Bao Wang, Wang, Bao, Xiyang Luo +10 · 1 voice · 1 citation
Computer Science · Physics and Astronomy · #Machine Learning and Data Classification #Model Reduction and Neural Networks #Neural Networks and Applications #cs.CV #cs.LG #stat.ML
- ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
2018/11/26 by Wang, Bao, Yuan, Binjie, Shi, Zuoqiang +1 · 2 citations
#68Txx #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
2019/06/28 by Bao Wang, Wang, Bao, Quanquan Gu +7 · 2 citations
Computer Science · #68T05 #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs
2022/04/19 by Baker, Justin, Xia, Hedi, Wang, Yiwei +7 · 2 citations
#65L04 #68T07 #FOS: Computer and information sciences #FOS: Mathematics #I.2 #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- Optimal Data Collection For Informative Rankings Expose Well-Connected\n Graphs
2012/07/26 by Braxton Osting, Osting, Braxton, Christoph Brüne +3 · 1 citation
Economics, Econometrics and Finance · Physics and Astronomy · Social Sciences · #05C40 #49N45 #62F07 #Applications (stat.AP) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sports Analytics and Performance #Transportation Planning and Optimization
- Deep Learning for Real-Time Crime Forecasting and its Ternarization
2017/11/23 by Bao Wang, Penghang Yin, Wang, Bao +9 · 2 citations
Computer Science · #62-07 #Anomaly Detection Techniques and Applications #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Time Series Analysis and Forecasting
- Fine-Tune Language Models as Multi-Modal Differential Equation Solvers
2023/08/09 by Yang, Liu, Liu, Siting, Osher, Stanley J. · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
2019/07/16 by Wang, Bao, Osher, Stanley J. · 1 citation
#68T01 #68T45 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
2021/08/05 by Nguyen, Tan M., Suliafu, Vai, Osher, Stanley J. +2 · 1 citation
#68T07 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #I.2 #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
2022/08/01 by Nguyen, Tan, Baraniuk, Richard G., Kirby, Robert M. +2 · 1 citation
#65Pxx #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- Wasserstein proximal operators describe score-based generative models and resolve memorization
2024/02/09 by Zhang, Benjamin J., Liu, Siting, Li, Wuchen +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions
2025/02/09 by Elisa Negrini, Yuxuan Liu, Negrini, Elisa +7 · 2 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Advanced Text Analysis Techniques
- Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations
2025/09/05 by Zhang, Benjamin J., Liu, Siting, Osher, Stanley J. +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)