Adam M. Oberman
- Numerical Methods for the Fractional Laplacian: A Finite Difference-Quadrature Approach
2014/01/01 by Yanghong Huang, Adam Oberman, Adam M. Oberman · 14 citations
Mathematics · #Fractional Differential Equations Solutions #Differential Equations and Numerical Methods #Numerical methods in inverse problems
- Scientist AI Needs a Government: Structural Governance as the Missing Layer in Non-Agentic AI Safety
2025/02/21 by Michael K. Cohen, Bengio, Yoshua, Damiano Fornasiere +22 · 22 citations
Physics and Astronomy · #Space Science and Extraterrestrial Life
- Numerical Methods for the Fractional Laplacian: a Finite Difference-quadrature Approach
2013/11/29 by Yanghong Huang, Huang, Yanghong, Adam M. Oberman +1 · 4 citations
Mathematics · #Differential Equations and Numerical Methods #FOS: Mathematics #Fractional Differential Equations Solutions #Nonlinear Partial Differential Equations #Numerical Analysis (math.NA)
- Deep Relaxation: partial differential equations for optimizing deep\n neural networks
2017/04/17 by Pratik Chaudhari, Chaudhari, Pratik, Adam M. Oberman +7 · 4 citations
Computer Science · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Convergent finite difference solvers for viscosity solutions of the\n elliptic Monge-Amp `ere equation in dimensions two and higher
2010/07/05 by Brittany D. Froese, Froese, Brittany D., Adam M. Oberman +1 · 3 citations
Mathematics · #Nonlinear Partial Differential Equations #Meromorphic and Entire Functions #Geometry and complex manifolds
- Improved robustness to adversarial examples using Lipschitz regularization of the loss
2018/10/01 by Chris Finlay, Finlay, Chris, Adam M. Oberman +3 · 5 citations
Computer Science · Engineering · Materials Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #High-Velocity Impact and Material Behavior #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Two Numerical Methods for the elliptic Monge-Ampère equation
2010/02/22 by Jean-David Benamou, Jean‐David Benamou, Brittany D. Froese +1 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #Nonlinear Partial Differential Equations
- The Dirichlet problem for the convex envelope
2010/07/05 by Luís Silvestre, Adam M. Oberman, Silvestre, Luis +1 · 1 citation
Economics, Econometrics and Finance · Computer Science · Mathematics · #Stochastic processes and financial applications #Advanced Mathematical Modeling in Engineering #Nonlinear Partial Differential Equations
- An efficient linear programming method for Optimal Transportation
2015/09/11 by Adam M. Oberman, Oberman, Adam M., Yuanlong Ruan +1 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Mathematical Programming #Optimization and Variational Analysis
- Numerical methods for matching for teams and Wasserstein barycenters
2014/11/13 by Guillaume Carlier, Adam M. Oberman, Carlier, Guillaume +3 · 4 citations
Economics, Econometrics and Finance · Computer Science · Mathematics · #Game Theory and Voting Systems #Distributed Control Multi-Agent Systems #Gas Dynamics and Kinetic Theory
- Harnessing small projectors and multiple views for efficient vision pretraining
2023/12/17 by Kumar Krishna Agrawal, Agrawal, Kumar Krishna, Arna Ghosh +6 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications