Aryan Deshwal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Efficient Optimization

Gaussian Processes

Monte Carlo Sampling

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Offline Model-Based Optimization via Policy-Guided Gradient Search. CoRR (2024)
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Offline Model-Based Optimization via Policy-Guided Gradient Search. AAAI (2024)
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR (2024)
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 Trans. Design Autom. Electr. Syst. 28 (5) (2023)
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
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR (2023)
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 Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
Bayesian Optimization over Permutation Spaces. AAAI (2022)
Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. CoRR (2022)
Aryan Deshwal, Janardhan Rao Doppa
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. CoRR (2021)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. CoRR (2021)
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. DAC (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Bayesian Optimization over Hybrid Spaces. ICML (2021)
Aryan Deshwal, Janardhan Rao Doppa
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. NeurIPS (2021)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. J. Artif. Intell. Res. 72 (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
Bayesian Optimization over Permutation Spaces. CoRR (2021)
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. CoRR (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Bayesian Optimization over Hybrid Spaces. CoRR (2021)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Mercer Features for Efficient Combinatorial Bayesian Optimization. AAAI (2021)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. CoRR (2020)
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 Trans. Embed. Comput. Syst. 19 (1) (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. CoRR (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. CoRR (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. CoRR (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. AAAI (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Mercer Features for Efficient Combinatorial Bayesian Optimization. CoRR (2020)
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. DATE (2020)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. CoRR (2020)
Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. AAAI (2020)
Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS (2019)
Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. IJCAI (2019)
Aryan Deshwal, Janardhan Rao Doppa, Dan Roth
Learning and Inference for Structured Prediction: A Unifying Perspective. IJCAI (2019)
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Max-value Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS (2019)
Aryan Deshwal, Nitthilan Kannappan 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 Trans. Embed. Comput. Syst. 18 (5s) (2019)