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Aryan Deshwal
Aryan Deshwal
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Max-value Entropy Search for Multi-Objective Bayesian Optimization
S Belakaria, A Deshwal, JR Doppa
Advances in Neural Information Processing Systems, 7823-7833, 2019
1262019
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
752020
Bayesian optimization of nanoporous materials
A Deshwal, CM Simon, JR Doppa
Molecular Systems Design & Engineering 6 (12), 1066-1086, 2021
662021
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
S Belakaria, A Deshwal, JR Doppa
AAAI, 10035-10043, 2020
492020
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
382021
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
362019
Bayesian optimization over hybrid spaces
A Deshwal, S Belakaria, JR Doppa
International Conference on Machine Learning, 2632-2643, 2021
352021
Mercer features for efficient combinatorial Bayesian optimization
A Deshwal, S Belakaria, JR Doppa
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7210-7218, 2021
352021
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
322020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
S Belakaria, A Deshwal, JR Doppa
arXiv preprint arXiv:2009.01721, 2020
232020
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
212020
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
192020
Gauche: A library for gaussian processes in chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, S Truong, Y Du, S Stanton, ...
Advances in Neural Information Processing Systems 36, 2024
182024
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 …, 2021
142021
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints
S Belakaria, A Deshwal, JR Doppa
14*
Learning pareto-frontier resource management policies for heterogeneous socs: An information-theoretic approach
A Deshwal, S Belakaria, G Bhat, JR Doppa, PP Pande
2021 58th ACM/IEEE Design Automation Conference (DAC), 607-612, 2021
132021
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
132019
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
A Deshwal, S Belakaria, JR Doppa
arXiv preprint arXiv:2008.08177, 2020
122020
Bayesian optimization over permutation spaces
A Deshwal, S Belakaria, JR Doppa, DH Kim
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6515-6523, 2022
112022
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
S Belakaria, A Deshwal, JR Doppa
Journal of Artificial Intelligence Research 72, 667-715, 2021
102021
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