Arbel, Michael
- Demystifying MMD GANs
2018/01/04 by Mikołaj Bińkowski, Bińkowski, Mikołaj, Danica J. Sutherland +5 · 136 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Maximum Mean Discrepancy Gradient Flow
2019/06/11 by Michael Arbel, Anna Korba, Arbel, Michael +5 · 12 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Image and Signal Denoising Methods
- Annealed Flow Transport Monte Carlo
2021/02/15 by Michael Arbel, Arbel, Michael, Alexander Matthews +3 · 9 citations
Physics and Astronomy · Mathematics · Computer Science · #Model Reduction and Neural Networks #Markov Chains and Monte Carlo Methods #Gaussian Processes and Bayesian Inference
- Continual Repeated Annealed Flow Transport Monte Carlo
2022/01/31 by Matthews, Alexander G. D. G., Arbel, Michael, Rezende, Danilo J. +1 · 9 citations
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics (cond-mat.stat-mech)
- A Non-Asymptotic Analysis for Stein Variational Gradient Descent
2020/06/17 by Anna Korba, Korba, Anna, Adil Salim +7 · 6 citations
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Random Matrices and Applications
- Amortized Implicit Differentiation for Stochastic Bilevel Optimization
2021/11/29 by Arbel, Michael, Mairal, Julien · 6 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Functional Bilevel Optimization for Machine Learning
2024/03/29 by Ieva Petrulionyte, Julien Mairal, Petrulionyte, Ieva +3 · 9 citations
Economics, Econometrics and Finance · Mathematics · Engineering · #Stochastic processes and financial applications #Advanced Optimization Algorithms Research #Reservoir Engineering and Simulation Methods
- LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes
2024/10/18 by Juliette Marrie, Marrie, Juliette, Romain Menegaux +7 · 2 voices · 7 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- Generalized Energy Based Models
2020/03/10 by Arbel, Michael, Zhou, Liang, Gretton, Arthur · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Non-Convex Bilevel Games with Critical Point Selection Maps
2022/07/11 by Arbel, Michael, Mairal, Julien · 3 citations
#Differential Geometry (math.DG) #FOS: Mathematics #Optimization and Control (math.OC)
- Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference
2022/10/26 by Glaser, Pierre, Arbel, Michael, Hromadka, Samo +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
2023/06/16 by Juliette Marrie, Marrie, Juliette, Michael Arbel +5 · 1 voice · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Multimodal Machine Learning Applications #cs.CV #cs.LG
- Tactical Optimism and Pessimism for Deep Reinforcement Learning
2021/02/07 by Moskovitz, Ted, Parker-Holder, Jack, Pacchiano, Aldo +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint\n Support
2021/06/16 by Pierre Glaser, Michael Arbel, Glaser, Pierre +3 · 1 citation
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Adversarial Robustness in Machine Learning
- MLXP: A Framework for Conducting Replicable Experiments in Python
2024/02/21 by Arbel, Michael, Zouaoui, Alexandre · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- Rethinking Gauss-Newton for learning over-parameterized models
2023/02/06 by Arbel, Michael, Menegaux, Romain, Wolinski, Pierre · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Dual Perspectives on Non-Contrastive Self-Supervised Learning
2025/06/18 by Ponce, Jean, Terver, Basile, Hebert, Martial +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)