| Data-driven activity prediction: Algorithms, evaluation methodology, and applications B Minor, JR Doppa, DJ Cook Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 149* | 2015 |
| Multi-source deep domain adaptation with weak supervision for time-series sensor data G Wilson, JR Doppa, DJ Cook Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 146 | 2020 |
| Max-value entropy search for multi-objective bayesian optimization S Belakaria, A Deshwal, JR Doppa Advances in Neural Information Processing Systems 32, 2019 | 145 | 2019 |
| Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3-D Small-World Network-on-Chip S Das, JR Doppa, PP Pande, K Chakrabarty IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 142* | 2017 |
| On-chip communication network for efficient training of deep convolutional networks on heterogeneous manycore systems W Choi, K Duraisamy, RG Kim, JR Doppa, PP Pande, D Marculescu, ... IEEE Transactions on Computers 67 (5), 672-686, 2017 | 140* | 2017 |
| Uncertainty-aware search framework for multi-objective Bayesian optimization S Belakaria, A Deshwal, NK Jayakodi, JR Doppa Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10044 …, 2020 | 89 | 2020 |
| HC-Search: A Learning Framework for Search-based Structured Prediction. JR Doppa, A Fern, P Tadepalli Journal of Artificial Intelligence Research (JAIR) 50, 369-407, 2014 | 83* | 2014 |
| Structured prediction via output space search JR Doppa, A Fern, P Tadepalli The Journal of Machine Learning Research 15 (1), 1317-1350, 2014 | 80* | 2014 |
| Learning-based application-agnostic 3D NoC design for heterogeneous manycore systems BK Joardar, RG Kim, JR Doppa, PP Pande, D Marculescu, R Marculescu IEEE Transactions on Computers 68 (6), 852-866, 2018 | 79 | 2018 |
| Bayesian optimization of nanoporous materials A Deshwal, CM Simon, JR Doppa Molecular Systems Design & Engineering 6 (12), 1066-1086, 2021 | 77 | 2021 |
| Imitation learning for dynamic VFI control in large-scale manycore systems RG Kim, W Choi, Z Chen, JR Doppa, PP Pande, D Marculescu, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (9 …, 2017 | 77 | 2017 |
| Dynamic resource management of heterogeneous mobile platforms via imitation learning SK Mandal, G Bhat, CA Patil, JR Doppa, PP Pande, UY Ogras IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (12 …, 2019 | 66 | 2019 |
| Machine learning for design space exploration and optimization of manycore systems RG Kim, JR Doppa, PP Pande 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018 | 60 | 2018 |
| Multi-fidelity multi-objective Bayesian optimization: An output space entropy search approach S Belakaria, A Deshwal, JR Doppa Proceedings of the AAAI Conference on artificial intelligence 34 (06), 10035 …, 2020 | 58 | 2020 |
| Chance-constrained programs for link prediction JR Doppa, J Yu, P Tadepalli, L Getoor NIPS workshop on analyzing networks and learning with graphs, 2009 | 51 | 2009 |
| An energy-aware online learning framework for resource management in heterogeneous platforms SK Mandal, G Bhat, JR Doppa, PP Pande, UY Ogras ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (3 …, 2020 | 50 | 2020 |
| Combining latent space and structured kernels for Bayesian optimization over combinatorial spaces A Deshwal, J Doppa Advances in neural information processing systems 34, 8185-8200, 2021 | 49 | 2021 |
| Performance and thermal tradeoffs for energy-efficient monolithic 3D network-on-chip D Lee, S Das, JR Doppa, PP Pande, K Chakrabarty ACM Transactions on Design Automation of Electronic Systems (TODAES) 23 (5 …, 2018 | 49 | 2018 |
| AccuReD: High accuracy training of CNNs on ReRAM/GPU heterogeneous 3-D architecture BK Joardar, JR Doppa, PP Pande, H Li, K Chakrabarty IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 47 | 2020 |
| A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video. H Yu, N Siddharth, A Barbu, JM Siskind Journal of Artificial Intelligence Research (JAIR) 52, 601-713, 2015 | 47 | 2015 |
Partha PandeWashington State UniversityVerified email at wsu.edu
