Romain Egele

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Neural Architecture

Top Venues

Publications

Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR (2024)
Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. Future Gener. Comput. Syst. 159 (2024)
Yixuan Sun, Olaperi Yeside Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach. CoRR (2024)
Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing 597 (2024)
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
AI Competitions and Benchmarks: Dataset Development. CoRR (2024)
Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles. CoRR (2023)
Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? ESANN (2023)
Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? CoRR (2023)
Romain Egele, Tyler Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives. CoRR (2023)
Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
Optimizing Distributed Training on Frontier for Large Language Models. CoRR (2023)
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. CLUSTER (2022)
Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash
Asynchronous Distributed Bayesian Optimization at HPC Scale. CoRR (2022)
Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR (2022)
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization. CoRR (2022)
Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. CoRR (2021)
Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash
Recurrent neural network architecture search for geophysical emulation. SC (2020)
Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data. CoRR (2020)
Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. SC (2019)
Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research. CoRR (2019)