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Prasanna Balaprakash
Prasanna Balaprakash
Director of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National Laboratory
Verified email at ornl.gov - Homepage
Title
Cited by
Cited by
Year
F-Race and Iterated F-Race: An Overview
M Birattari, Z Yuan, P Balaprakash, T Stützle
Experimental methods for the analysis of optimization algorithms, 311-336, 2010
5412010
Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement
P Balaprakash, M Birattari, T Stützle
Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund …, 2007
3262007
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
R Maulik, B Lusch, P Balaprakash
Physics of Fluids 33 (3), 2021
2222021
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
1392018
Time-series learning of latent-space dynamics for reduced-order model closure
R Maulik, A Mohan, B Lusch, S Madireddy, P Balaprakash, D Livescu
Physica D: Nonlinear Phenomena 405, 132368, 2020
1222020
Autotuning in high-performance computing applications
P Balaprakash, J Dongarra, T Gamblin, M Hall, JK Hollingsworth, B Norris, ...
Proceedings of the IEEE 106 (11), 2068-2083, 2018
1222018
Learning to optimize variational quantum circuits to solve combinatorial problems
S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash
Proceedings of the AAAI conference on artificial intelligence 34 (03), 2367-2375, 2020
1152020
CANDLE/Supervisor: A workflow framework for machine learning applied to cancer research
JM Wozniak, R Jain, P Balaprakash, J Ozik, NT Collier, J Bauer, F Xia, ...
BMC bioinformatics 19, 59-69, 2018
872018
Benchmarking machine learning methods for performance modeling of scientific applications
P Malakar, P Balaprakash, V Vishwanath, V Morozov, K Kumaran
2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2018
762018
Multi objective optimization of HPC kernels for performance, power, and energy
P Balaprakash, A Tiwari, SM Wild
High Performance Computing Systems. Performance Modeling, Benchmarking and …, 2014
752014
Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem
P Balaprakash, M Birattari, T Stützle, Z Yuan, M Dorigo
Swarm Intelligence 3, 223-242, 2009
752009
Transfer learning with graph neural networks for short-term highway traffic forecasting
T Mallick, P Balaprakash, E Rask, J Macfarlane
2020 25th International Conference on Pattern Recognition (ICPR), 10367-10374, 2021
712021
Constrained deep reinforcement learning for energy sustainable multi-UAV based random access IoT networks with NOMA
S Khairy, P Balaprakash, LX Cai, Y Cheng
IEEE Journal on Selected Areas in Communications 39 (4), 1101-1115, 2020
682020
Graph-partitioning-based diffusion convolutional recurrent neural network for large-scale traffic forecasting
T Mallick, P Balaprakash, E Rask, J Macfarlane
Transportation Research Record 2674 (9), 473-488, 2020
642020
Estimation-based local search for stochastic combinatorial optimization using delta evaluations: a case study on the probabilistic traveling salesman problem
M Birattari, P Balaprakash, T Stützle, M Dorigo
INFORMS Journal on Computing 20 (4), 644-658, 2008
572008
Fidelity: Efficient resilience analysis framework for deep learning accelerators
Y He, P Balaprakash, Y Li
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
552020
Active-learning-based surrogate models for empirical performance tuning
P Balaprakash, RB Gramacy, SM Wild
2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013
552013
Generating efficient tensor contractions for GPUs
T Nelson, A Rivera, P Balaprakash, M Hall, PD Hovland, E Jessup, ...
2015 44th International Conference on Parallel Processing, 969-978, 2015
542015
Graph convolutional neural networks for optimal load shedding under line contingency
C Kim, K Kim, P Balaprakash, M Anitescu
2019 ieee power & energy society general meeting (pesgm), 1-5, 2019
522019
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
502019
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