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Janardhan Rao (Jana)  Doppa
Janardhan Rao (Jana) Doppa
Huie-Rogers Endowed Chair Associate Professor, Washington State University
Verified email at eecs.wsu.edu - Homepage
Title
Cited by
Cited by
Year
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
120*2015
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
116*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
113*2017
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
80*2014
Max-value entropy search for multi-objective bayesian optimization
S Belakaria, A Deshwal, JR Doppa
Advances in Neural Information Processing Systems 32, 2019
762019
Structured prediction via output space search
JR Doppa, A Fern, P Tadepalli
The Journal of Machine Learning Research 15 (1), 1317-1350, 2014
76*2014
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
552017
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
492020
Chance-constrained programs for link prediction
JR Doppa, J Yu, P Tadepalli, L Getoor
NIPS workshop on analyzing networks and learning with graphs, 2009
492009
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
482018
Prune-and-Score: Learning for Greedy Coreference Resolution.
C Ma, JR Doppa, JW Orr, P Mannem, XZ Fern, TG Dietterich, P Tadepalli
EMNLP, 2115-2126, 2014
452014
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
442020
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
442015
HC-Search for structured prediction in computer vision
M Lam, JR Doppa, S Todorovic, TG Dietterich
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
43*2015
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
402019
Learning Scripts as Hidden Markov Models.
JW Orr, P Tadepalli, JR Doppa, X Fern, TG Dietterich
AAAI Conference on Artificial Intelligence, 1565-1571, 2014
382014
Learning algorithms for link prediction based on chance constraints
JR Doppa, J Yu, P Tadepalli, L Getoor
European Conference on Machine Learning (ECML), 344-360, 2010
382010
HC-Search for Multi-Label Prediction: An Empirical Study.
JR Doppa, J Yu, C Ma, A Fern, P Tadepalli
AAAI Conference on Artificial Intelligence, 1795-1801, 2014
342014
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
332018
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
312018
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