Egele, Romain

1. Optimizing Distributed Training on Frontier for Large Language Models
   2023/12/20 by Sajal Dash, Isaac Lyngaas, Dash, Sajal +13 · 1 voice · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.AI #cs.DC
2. Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
   2023/07/28 by Egele, Romain, Guyon, Isabelle, Sun, Yixuan +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
   2022/07/01 by Romain Égelé, Isabelle Guyon, Egele, Romain +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Neural Network Applications #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
4. AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
   2021/10/26 by Romain Égelé, Egele, Romain, Romit Maulik +9 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
5. The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization
   2024/04/05 by Egele, Romain, Mohr, Felix, Viering, Tom +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
   2023/02/20 by Maulik, Romit, Egele, Romain, Raghavan, Krishnan +1 · 1 citation
   #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
7. Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
   2024/04/07 by Sun, Yixuan, Sowunmi, Ololade, Egele, Romain +3 · 1 citation
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)