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 | 555 | 2010 |
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 | 329 | 2007 |
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 | 236 | 2021 |
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 | 151 | 2018 |
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 | 128 | 2018 |
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 | 124 | 2020 |
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 | 123 | 2020 |
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 | 93 | 2018 |
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 | 82 | 2021 |
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 | 79 | 2018 |
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 | 76 | 2009 |
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 | 75 | 2020 |
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 | 75 | 2014 |
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 | 74 | 2020 |
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 | 60 | 2020 |
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 | 57 | 2019 |
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 | 57 | 2013 |
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 | 57 | 2008 |
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 | 54 | 2019 |
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 | 53 | 2015 |