Oyallon, Edouard

1. Why do tree-based models still outperform deep learning on tabular data?
   2022/07/18 by Léo Grinsztajn, Grinsztajn, Léo, Edouard Oyallon +3 · 7 voices · 35 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Big Data and Digital Economy #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.LG #stat.ME #stat.ML
2. Kymatio: Scattering Transforms in Python
   2018/12/28 by Mathieu Andreux, Andreux, Mathieu, Tomás Angles +33 · 1 voice · 7 citations
   Computer Science · Engineering · Mathematics · #cs.LG #cs.CV #cs.SD #eess.AS #stat.ML
3. Greedy Layerwise Learning Can Scale to ImageNet
   2018/12/29 by Eugene Belilovsky, Michael Eickenberg, Belilovsky, Eugene +3 · 15 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
4. Decoupled Greedy Learning of CNNs
   2019/01/23 by Eugene Belilovsky, Michael Eickenberg, Belilovsky, Eugene +3 · 11 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
5. Deep Roto-Translation Scattering for Object Classification
   2014/12/30 by Edouard Oyallon, Stéphane Mallat, Oyallon, Edouard +1 · 6 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
6. Scaling the Scattering Transform: Deep Hybrid Networks
   2017/03/27 by Edouard Oyallon, Oyallon, Edouard, Eugene Belilovsky +3 · 4 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
7. Guiding The Last Layer in Federated Learning with Pre-Trained Models
   2023/06/06 by Gwen Legate, Legate, Gwen, Nicolas Bernier +7 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
8. Gradient Masked Averaging for Federated Learning
   2022/01/28 by Irene Tenison, Tenison, Irene, Sai Aravind Sreeramadas +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
9. DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
   2022/07/26 by Adel Nabli, Edouard Oyallon, Nabli, Adel +1 · 2 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Distributed Control Multi-Agent Systems #Privacy-Preserving Technologies in Data
10. PETRA: Parallel End-to-end Training with Reversible Architectures
    2024/06/04 by Rivaud, Stéphane, Fournier, Louis, Pumir, Thomas +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
    2024/05/27 by Fournier, Louis, Nabli, Adel, Aminbeidokhti, Masih +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
12. Vectorizing string entries for data processing on tables: when are larger language models better?
    2023/12/15 by Grinsztajn, Léo, Oyallon, Edouard, Kim, Myung Jun +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
    2025/04/28 by Rudy Morel, Jiequn Han, Morel, Rudy +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
14. μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
    2024/05/31 by Benjamin Therien, C. Joseph, Thérien, Benjamin +9 · 2 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Machine Learning (cs.LG)
15. Online Regularized Nonlinear Acceleration
    2018/05/24 by Damien Scieur, Scieur, Damien, Edouard Oyallon +5 · 2 citations
    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