Aryan Deshwal

54 papers A* 20A 2Misc 1Journal 30
YearRankTypeTitle / Venue / Authors
2026 A* conf
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design.
AAAI
Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal, Susmita Bose, Amit Bandyopadhyay, Jana Doppa
2026 J jnl
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-driven Adaptive Experimental Design.
CoRR
Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal, Susmita Bose, Amit Bandyopadhyay, Jana Doppa
2026 A* conf
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling.
AAAI
Azza Fadhel, Yassine Chemingui, Minh Hoang, Aryan Deshwal, Trong Nghia Hoang, Jana Doppa
2025 J jnl
Actively Learning to Coordinate in Convex Games via Approximate Correlated Equilibrium.
CoRR
Zhenlong Fang, Aryan Deshwal, Yue Yu
2025 A* conf
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design.
AAAI
Aryan Deshwal
2025 J jnl
An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models.
CoRR
Shlok Tomar, Aryan Deshwal, Ethan Villalovoz, Mattia Fazzini, Haipeng Cai, Janardhan Rao Doppa
2025 J jnl
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem.
CoRR
Seunghee Ryu, Donghoon Kwon, Seongjin Choi, Aryan Deshwal, Seungmo Kang, Carolina Osorio
2025 A* conf
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier.
EMNLP
Gaoxiang Luo, Aryan Deshwal
2025 J jnl
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier.
CoRR
Gaoxiang Luo, Aryan Deshwal
2025 A* conf
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning.
AAAI
Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa
2025 J jnl
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching.
CoRR
Minh Hoang, Azza Fadhel, Aryan Deshwal, Janardhan Rao Doppa, Trong Nghia Hoang
2025 J jnl
Online Optimization for Offline Safe Reinforcement Learning.
CoRR
Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa
2024 — —
Adaptive Experimental Design for Optimizing Combinatorial Structures.
Aryan Deshwal
2024 J jnl
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning.
CoRR
Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Janardhan Rao Doppa
2024 A* conf
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching.
ICML
Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang
2024 A* conf
Offline Model-Based Optimization via Policy-Guided Gradient Search.
AAAI
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
2024 J jnl
Offline Model-Based Optimization via Policy-Guided Gradient Search.
CoRR
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
2024 J jnl
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces.
CoRR
Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson
2024 A* conf
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach.
IJCAI
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2024 J jnl
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach.
CoRR
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2023 A conf
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
AISTATS
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
2023 J jnl
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
CoRR
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
2023 J jnl
Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework.
ACM Trans. Design Autom. Electr. Syst.
Gaurav Narang, Aryan Deshwal, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
2023 A* conf
GAUCHE: A Library for Gaussian Processes in Chemistry.
NeurIPS
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang
2022 A* conf
Bayesian Optimization over Permutation Spaces.
AAAI
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
2022 J jnl
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
2022 J jnl
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization.
CoRR
Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2021 A* conf
Bayesian Optimization over Hybrid Spaces.
ICML
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021 J jnl
Bayesian Optimization over Hybrid Spaces.
CoRR
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021 J jnl
Bayesian Optimization over Permutation Spaces.
CoRR
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
2021 A* conf
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
NeurIPS
Aryan Deshwal, Janardhan Rao Doppa
2021 J jnl
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
CoRR
Aryan Deshwal, Janardhan Rao Doppa
2021 A* conf
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach.
DAC
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
2021 J jnl
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach.
CoRR
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande
2021 A* conf
Mercer Features for Efficient Combinatorial Bayesian Optimization.
AAAI
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2021 J jnl
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization.
CoRR
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2021 J jnl
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization.
J. Artif. Intell. Res.
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 J jnl
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models.
ACM Trans. Embed. Comput. Syst.
Nitthilan Kanappan Jayakodi, Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 A conf
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning.
DATE
Zhiyuan Zhou, Syrine Belakaria, Aryan Deshwal, Wookpyo Hong, Janardhan Rao Doppa, Partha Pratim Pande, Deukhyoun Heo
2020 J jnl
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations.
CoRR
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 J jnl
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints.
CoRR
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 J jnl
Mercer Features for Efficient Combinatorial Bayesian Optimization.
CoRR
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2020 A* conf
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
AAAI
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 J jnl
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
CoRR
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 A* conf
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework.
AAAI
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020 J jnl
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework.
CoRR
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020 J jnl
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models.
CoRR
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
2020 J jnl
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints.
CoRR
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2020 A* conf
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization.
AAAI
Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2019 A* conf
Learning and Inference for Structured Prediction: A Unifying Perspective.
IJCAI
Aryan Deshwal, Janardhan Rao Doppa, Dan Roth
2019 J jnl
MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems.
ACM Trans. Embed. Comput. Syst.
Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande
2019 A* conf
Max-value Entropy Search for Multi-Objective Bayesian Optimization.
NeurIPS
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
2019 A* conf
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning.
IJCAI
Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth
2019 Misc conf
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.
CODES+ISSS
Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao