Janardhan Rao (Jana) Doppa

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Partha PandeWashington State UniversityAdresse e-mail validée de wsu.edu
Krishnendu ChakrabartyFulton Professor of Microelectronics, School of Electrical and Computer and Energy EngineeringAdresse e-mail validée de asu.edu
Aryan DeshwalUniversity of MinnesotaAdresse e-mail validée de umn.edu
Biresh Kumar JoardarUniversity of HoustonAdresse e-mail validée de central.uh.edu
Syrine BelakariaStanford UniversityAdresse e-mail validée de cs.stanford.edu
Hai LiMarie Foote Reel E'46 Distinguished Professor of ECE Dept, Duke Univ.Adresse e-mail validée de duke.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityAdresse e-mail validée de cs.orst.edu
Radu MarculescuThe University of Texas at AustinAdresse e-mail validée de utexas.edu
Diana MarculescuThe University of Texas at AustinAdresse e-mail validée de utexas.edu
Alan FernOregon State UniversityAdresse e-mail validée de oregonstate.edu
Diane J CookWashington State UniversityAdresse e-mail validée de eecs.wsu.edu
Umit Yusuf OgrasGene Amdahl Professor, University of Wisconsin-MadisonAdresse e-mail validée de wisc.edu
Taha BelkhoujaPhD student, Washington State UniversityAdresse e-mail validée de wsu.edu
Ganapati BhatRaymond and Beverly Lorenz Distinguished Assistant Professor, Washington State UniversityAdresse e-mail validée de wsu.edu
Sriraam NatarajanUniversity of Texas at DallasAdresse e-mail validée de utdallas.edu
Dan RothProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Eytan BakshyResearch Director, MetaAdresse e-mail validée de fb.com
Nicolò FusiPartner Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Stefano ErmonStanford UniversityAdresse e-mail validée de cs.stanford.edu

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Janardhan Rao (Jana) Doppa

Huie-Rogers Endowed Chair Associate Professor, Washington State University

Adresse e-mail validée de eecs.wsu.edu - Page d'accueil

Artificial Intelligence Machine Learning Electronic Design Automation Computing Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	155	2020
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	150*	2015
Max-value entropy search for multi-objective bayesian optimization S Belakaria, A Deshwal, JR Doppa Advances in Neural Information Processing Systems 32, 2019	149	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	143*	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	142*	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	94	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	84*	2014
Bayesian optimization of nanoporous materials A Deshwal, CM Simon, JR Doppa Molecular Systems Design & Engineering 6 (12), 1066-1086, 2021	83	2021
Structured prediction via output space search JR Doppa, A Fern, P Tadepalli The Journal of Machine Learning Research 15 (1), 1317-1350, 2014	81*	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	80	2018
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	79	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	67	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	63	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	60	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	53	2021
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	53	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
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	50	2020
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	50	2018
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	48	2015

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