Romain Egele - RankMe

24 papers A 2B 2C 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning. J. Open Source Softw. Romain Egele, Prasanna Balaprakash, Gavin M. Wiggins, Brett Eiffert
2025	J	`jnl`	Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling. CoRR Yixuan Sun, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Carmelo Gonzales, Steven Brus, Balu Nadiga, Sandeep Madireddy, Prasanna Balaprakash
2024	—	`conf`	A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-Level Performance. ICDAR (3) Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele
2024	J	`jnl`	AI Competitions and Benchmarks: Dataset Development. CoRR Romain Egele, Júlio C. S. Jacques Júnior, Jan N. van Rijn, Isabelle Guyon, Xavier Baró, Albert Clapés, Prasanna Balaprakash, Sergio Escalera, Thomas B. Moeslund, Jun Wan
2024	—	`—`	Optimization of Learning Workflows at Large Scale on High-Performance Computing Systems. (Optimisation de Processus d'Apprentissage à Grande Échelle sur des Systèmes de Calcul Haute-Performance). Romain Egele
2024	C	`conf`	Optimizing Distributed Training on Frontier for Large Language Models. ISC Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2024	J	`jnl`	Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. Future Gener. Comput. Syst. Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
2024	J	`jnl`	Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach. CoRR Yixuan Sun, Olaperi Yeside Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash
2024	J	`jnl`	The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2024	J	`jnl`	The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2023	B	`conf`	Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? ESANN Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
2023	J	`jnl`	Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? CoRR Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
2023	J	`jnl`	Optimizing Distributed Training on Frontier for Large Language Models. CoRR Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2023	J	`jnl`	Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives. CoRR Romain Egele, Tyler H. Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash
2023	J	`jnl`	Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles. CoRR Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash
2022	J	`jnl`	Asynchronous Distributed Bayesian Optimization at HPC Scale. CoRR Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash
2022	B	`conf`	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
2022	C	`conf`	HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. CLUSTER Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2022	J	`jnl`	HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization. CoRR Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2021	J	`jnl`	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. CoRR Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch
2020	J	`jnl`	AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data. CoRR Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu
2020	A	`conf`	Recurrent neural network architecture search for geophysical emulation. SC Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash
2019	J	`jnl`	Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research. CoRR Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
2019	A	`conf`	Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. SC Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens