Aryan Deshwal
Aryan Deshwal
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Conference paper
Journal article
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Date
2024
2023
2022
2021
2020
2019
Yassine Chemingui
,
Aryan Deshwal
,
Nghia Hoang
,
Janardhan Rao Doppa
.
Offline Model-based Black-Box Optimization via Policy-guided Gradient Search
.
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI)
, 2024.
Nickolas Gantzler
,
Aryan Deshwal
,
Janardhan Rao Doppa
,
Cory Simon
.
Multi-fidelity Bayesian Optimization of Covalent Organic Frameworks for Xenon/Krypton Separations
.
Digitial Discovery Journal, Royal Society of Chemistry
, 2023.
PDF
Code
Ryan-Rhys Griffiths, et al
.
Gauche - A Library for Gaussian Processes in Chemistry
.
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)
, 2023.
PDF
Code
Aryan Deshwal
,
Sebastian Ament
,
Maximilian Balandat
,
Eytan Bakshy
,
Janardhan Rao Doppa
,
David Eriksson
.
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
.
Twenty-Sixth International Conference on Artificial Intelligence and Statistics (AISTATS)
, 2023.
PDF
Code
Gaurav Narang
,
Aryan Deshwal
,
Raid Ayoub
,
Michael Kishinevsky
,
Janardhan Rao Doppa
,
Partha Pratim Pande
.
Dynamic Power Management in Large Manycore Systems - A Learning-to-Search Framework
.
ACM Transactions on Design Automation of Electronic Systems (TODAES)
, 2023.
PDF
Aryan Deshwal
,
Syrine Belakaria
,
Janardhan Rao Doppa
,
Dae Hyun Kim
.
Bayesian Optimization over Permutation Spaces
.
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)
, 2022.
PDF
Code
Aryan Deshwal
,
Janardhan Rao Doppa
.
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
.
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS)
, 2021.
PDF
Code
Aryan Deshwal
,
Cory Simon
,
Janardhan Rao Doppa
.
Bayesian Optimization of Nanoporous Materials
.
Molecular Systems Design and Engineering Journal, Royal Society of Chemistry
, 2021.
PDF
Code
Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
.
Journal of Artificial Intelligence Research (JAIR)
, 2021.
PDF
Code
Aryan Deshwal
,
Syrine Belakaria
,
Janardhan Rao Doppa
.
Bayesian Optimization over Hybrid Spaces
.
Thirty-eighth International Conference on Machine Learning (ICML)
, 2021.
PDF
Code
Aryan Deshwal
,
Syrine Belakaria
,
Ganapati Bhat
,
Janardhan Rao Doppa
,
Partha Pratim Pande
.
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs - An Information-Theoretic Approach
.
Proceedings of 58th IEEE/ACM Design Automation Conference (DAC)
, 2021.
PDF
Biresh Kumar Joardar
,
Aryan Deshwal
,
Janardhan Rao Doppa
,
Partha Pratim Pande
,
Krishnendu Chakrabarty
.
High-Throughput Training of Deep CNNs on ReRAM-based Heterogeneous Architectures via Optimized Normalization Layers
.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
, 2021.
PDF
Aryan Deshwal
,
Syrine Belakaria
,
Janardhan Rao Doppa
.
Mercer Features for Efficient Combinatorial Bayesian Optimization
.
Thirty-Fifth AAAI Conference on Artificial Intelligence
, 2021.
PDF
Code
Aryan Deshwal
,
Syrine Belakaria
,
Janardhan Rao Doppa
.
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
.
NeurIPS Workshop on Engineering Modeling, Simulation, and Design
, 2020.
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Cite
Code
Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
.
NeurIPS Workshop on Machine Learning and the Physical Sciences
, 2020.
PDF
Cite
Code
Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
.
NeurIPS Workshop on Engineering Modeling, Simulation, and Design
, 2020.
PDF
Cite
Syrine Belakaria
,
Aryan Deshwal
,
Nitthilan Kannappan Jayakodi
,
Janardhan Rao Doppa
.
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
.
AAAI Conference on Artificial Intelligence (AAAI)
, 2020.
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Cite
Code
Aryan Deshwal
,
Syrine Belakaria
,
Janardhan Rao Doppa
,
Alan Fern
.
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
.
AAAI Conference on Artificial Intelligence (AAAI)
, 2020.
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Cite
Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Multi-Fidelity Multi-Objective Bayesian Optimization, An Output Space Entropy Search Approach
.
AAAI Conference on Artificial Intelligence (AAAI)
, 2020.
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Zhiyuan Zhou
,
Syrine Belakaria
,
Aryan Deshwal
,
Wookpyo Hong
,
Janardhan Rao Doppa
,
Partha Pratim Pande
,
Deukhyoun Heo
.
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning
.
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2020.
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Nitthilan Kanappan Jayakodi
,
Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models
.
ACM Transactions on Embedded Computing Systems (TECS)
, 2020.
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Syrine Belakaria
,
Aryan Deshwal
,
Janardhan Rao Doppa
.
Max-value Entropy Search for Multi-Objective Bayesian Optimization
.
Advances in Neural Information Processing Systems (NeurIPS)
, 2019.
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Cite
Code
Aryan Deshwal
,
Nitthilan Kanappan Jayakodi
,
Biresh Kumar Joardar
,
Janardhan Rao Doppa
,
Partha Pratim Pande
.
MOOS: A multi-objective design space exploration and optimization framework for NoC enabled manycore systems
.
ACM Transactions on Embedded Computing Systems (TECS)
, 2019.
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Paul Bogdan
,
Fan Chen
,
Aryan Deshwal
,
Janardhan Rao Doppa
,
Biresh Kumar Joardar
,
Hai Li
,
Shahin Nazarian
,
Linghao Song
,
Yao Xiao
.
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems
.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion (CODES/ISSS)
, 2019.
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Chao Ma
,
FA Rezaur Rahman Chowdhury
,
Aryan Deshwal
,
Md Rakibul Islam
,
Janardhan Rao Doppa
,
Dan Roth
.
Randomized greedy search for structured prediction: amortized inference and learning
.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)
, 2019.
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Aryan Deshwal
,
Janardhan Rao Doppa
,
Dan Roth
.
Learning and inference for structured prediction: a unifying perspective
.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)
, 2019.
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