Aryan Deshwal
Aryan Deshwal
Verified email at wsu.edu - Homepage
Title
Cited by
Cited by
Year
Max-value Entropy Search for Multi-Objective Bayesian Optimization
S Belakaria, A Deshwal, JR Doppa
Advances in Neural Information Processing Systems, 7823-7833, 2019
342019
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
222020
MOOS: A multi-objective design space exploration and optimization framework for NoC enabled manycore systems
A Deshwal, NK Jayakodi, BK Joardar, JR Doppa, PP Pande
ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23, 2019
162019
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
S Belakaria, A Deshwal, JR Doppa
arXiv preprint arXiv:2009.01721, 2020
102020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
S Belakaria, A Deshwal, JR Doppa
AAAI, 10035-10043, 2020
102020
Optimizing discrete spaces via expensive evaluations: A learning to search framework
A Deshwal, S Belakaria, JR Doppa, A Fern
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3773-3780, 2020
82020
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models
NK Jayakodi, S Belakaria, A Deshwal, JR Doppa
ACM Transactions on Embedded Computing Systems (TECS) 19 (1), 1-24, 2020
82020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
A Deshwal, S Belakaria, JR Doppa
arXiv preprint arXiv:2008.08177, 2020
72020
Design of multi-output switched-capacitor voltage regulator via machine learning
S Belakaria, Z Zhou, A Deshwal, JR Doppa, P Pande, D Heo
Proceedings of the Twenty-Third IEEE/ACM Design Automation and Test in …, 2020
62020
Mercer Features for Efficient Combinatorial Bayesian Optimization
A Deshwal, S Belakaria, JR Doppa
arXiv preprint arXiv:2012.07762, 2020
52020
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning
Z Zhou, S Belakaria, A Deshwal, W Hong, JR Doppa, PP Pande, D Heo
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 502-507, 2020
52020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
S Belakaria, A Deshwal, JR Doppa
arXiv preprint arXiv:2009.05700, 2020
42020
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems
P Bogdan, F Chen, A Deshwal, JR Doppa, BK Joardar, H Li, S Nazarian, ...
Proceedings of the International Conference on Hardware/Software Codesign …, 2019
42019
Randomized greedy search for structured prediction: amortized inference and learning
C Ma, FARR Chowdhury, A Deshwal, MR Islam, JR Doppa, D Roth
Proceedings of the International Joint Conference on Artificial Intelligence …, 2019
42019
Learning and inference for structured prediction: a unifying perspective
A Deshwal, JR Doppa, D Roth
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
42019
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints
S Belakaria, A Deshwal, JR Doppa
4*
Bayesian Optimization over Hybrid Spaces
A Deshwal, S Belakaria, JR Doppa
arXiv preprint arXiv:2106.04682, 2021
22021
Bayesian optimization of nanoporous materials
A Deshwal, C Simon, JR Doppa
12021
High-Throughput Training of Deep CNNs on ReRAM-based Heterogeneous Architectures via Optimized Normalization Layers
BK Joardar, A Deshwal, JR Doppa, PP Pande, K Chakrabarty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021
12021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
A Deshwal, S Belakaria, G Bhat, JR Doppa, PP Pande
arXiv preprint arXiv:2105.09282, 2021
12021
The system can't perform the operation now. Try again later.
Articles 1–20