| Deephyper: Asynchronous hyperparameter search for deep neural networks P Balaprakash, M Salim, TD Uram, V Vishwanath, SM Wild 2018 IEEE 25th international conference on high performance computing (HiPC …, 2018 | 149 | 2018 |
| Scalable reinforcement-learning-based neural architecture search for cancer deep learning research P Balaprakash, R Egele, M Salim, S Wild, V Vishwanath, F Xia, T Brettin, ... Proceedings of the international conference for high performance computing …, 2019 | 53 | 2019 |
| Recurrent neural network architecture search for geophysical emulation R Maulik, R Egele, B Lusch, P Balaprakash SC20: International Conference for High Performance Computing, Networking …, 2020 | 49 | 2020 |
| Autodeuq: Automated deep ensemble with uncertainty quantification R Egele, R Maulik, K Raghavan, B Lusch, I Guyon, P Balaprakash 2022 26th International Conference on Pattern Recognition (ICPR), 1908-1914, 2022 | 44 | 2022 |
| AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data R Egele, P Balaprakash, I Guyon, V Vishwanath, F Xia, R Stevens, Z Liu Proceedings of the International Conference for High Performance Computing …, 2021 | 26 | 2021 |
| Hpc storage service autotuning using variational-autoencoder-guided asynchronous bayesian optimization M Dorier, R Egele, P Balaprakash, J Koo, S Madireddy, S Ramesh, ... 2022 IEEE International Conference on Cluster Computing (CLUSTER), 381-393, 2022 | 9 | 2022 |
| Optimizing distributed training on frontier for large language models S Dash, IR Lyngaas, J Yin, X Wang, R Egele, JA Ellis, M Maiterth, G Cong, ... ISC High Performance 2024 Research Paper Proceedings (39th International …, 2024 | 4 | 2024 |
| Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R Maulik, R Egele, K Raghavan, P Balaprakash Physica D: Nonlinear Phenomena 454, 133852, 2023 | 4 | 2023 |
| Asynchronous decentralized bayesian optimization for large scale hyperparameter optimization R Egelé, I Guyon, V Vishwanath, P Balaprakash 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | 2 | 2023 |
| Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives R Egele, T Chang, Y Sun, V Vishwanath, P Balaprakash arXiv preprint arXiv:2309.14936, 2023 | 2 | 2023 |
| Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? R Egele, I Guyon, Y Sun, P Balaprakash arXiv preprint arXiv:2307.15422, 2023 | 2 | 2023 |
| The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization R Egele, F Mohr, T Viering, P Balaprakash Neurocomputing, 127964, 2024 | 1 | 2024 |
| Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations X Liu, M Rüttgers, A Quercia, R Egele, E Pfaehler, R Shende, M Aach, ... Future Generation Computer Systems 159, 474-488, 2024 | | 2024 |
| Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Y Sun, O Sowunmi, R Egele, SHK Narayanan, L Van Roekel, ... Mathematics 12 (10), 1483, 2024 | | 2024 |
| AI Competitions and Benchmarks: Dataset Development R Egele, J Junior, CS Jacques, JN van Rijn, I Guyon, X Baró, A Clapés, ... arXiv preprint arXiv:2404.09703, 2024 | | 2024 |
| HHD-Ethiopic A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance BH Belay, I Guyon, T Mengiste, B Tilahun, M Liwicki, T Tegegne, R Egele | | 2023 |
Prasanna BalaprakashDirector of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National Laboratory在 ornl.gov 的电子邮件经过验证
