Edouard Oyallon
- Why do tree-based models still outperform deep learning on tabular data?
2022/07/18 by Léo Grinsztajn, Edouard Oyallon, Grinsztajn, Léo +3 · 7 voices · 32 citations
Computer Science · #Adversarial Robustness in Machine Learning #Big Data and Digital Economy #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.LG #stat.ME #stat.ML
- Kymatio: Scattering Transforms in Python
2018/12/28 by Mathieu Andreux, Tomás Angles, Andreux, Mathieu +33 · 1 voice · 6 citations
#cs.LG #cs.CV #cs.SD #eess.AS #stat.ML
- Greedy Layerwise Learning Can Scale to ImageNet
2018/12/29 by Eugene Belilovsky, Belilovsky, Eugene, Michael Eickenberg +3 · 13 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- Decoupled Greedy Learning of CNNs
2019/01/23 by Eugene Belilovsky, Belilovsky, Eugene, Michael Eickenberg +3 · 10 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Deep Roto-Translation Scattering for Object Classification
2014/12/30 by Edouard Oyallon, Oyallon, Edouard, Stéphane Mallat +1 · 5 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Remote-Sensing Image Classification
- Guiding The Last Layer in Federated Learning with Pre-Trained Models
2023/06/06 by Gwen Legate, Nicolas Bernier, Legate, Gwen +7 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Scaling the Scattering Transform: Deep Hybrid Networks
2017/03/27 by Edouard Oyallon, Eugene Belilovsky, Oyallon, Edouard +3 · 2 citations
Computer Science · Earth and Planetary Sciences · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques
- Gradient Masked Averaging for Federated Learning
2022/01/28 by Irene Tenison, Sai Aravind Sreeramadas, Tenison, Irene +9 · 2 citations
Computer Science · Mathematics · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference
- DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
2022/07/26 by Adel Nabli, Nabli, Adel, Edouard Oyallon +1 · 2 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Distributed Control Multi-Agent Systems #Privacy-Preserving Technologies in Data
- DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
2025/04/28 by Rudy Morel, Morel, Rudy, Jiequn Han +3 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications
- μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
2024/05/31 by Benjamin Therien, Thérien, Benjamin, C. Joseph +9 · 2 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Machine Learning (cs.LG)
- Online Regularized Nonlinear Acceleration
2018/05/24 by Damien Scieur, Scieur, Damien, Edouard Oyallon +5 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Stabilizing Native Low-Rank LLM Pretraining
2026/02/12 by Paul Janson, Edouard Oyallon, Eugene Belilovsky · 2 citations
#cs.LG