Следене
Janardhan Rao (Jana) Doppa
Janardhan Rao (Jana) Doppa
Huie-Rogers Endowed Chair Associate Professor, Washington State University
Потвърден имейл адрес: eecs.wsu.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
1712020
Max-value entropy search for multi-objective Bayesian optimization
S Belakaria, A Deshwal, JR Doppa
Advances in neural information processing systems 32, 2019
1582019
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
152*2015
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
147*2017
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
146*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
1042020
Bayesian optimization of nanoporous materials
A Deshwal, CM Simon, JR Doppa
Molecular Systems Design & Engineering 6 (12), 1066-1086, 2021
892021
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
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
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
792017
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
782018
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
692019
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
642018
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
612020
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
592021
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
562020
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
522020
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
512018
Chance-constrained programs for link prediction
JR Doppa, J Yu, P Tadepalli, L Getoor
NIPS workshop on analyzing networks and learning with graphs, 2009
512009
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
492015
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