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ORCIDAryan Deshwal
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2020 – today
- 2024
[c18]Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa:
Offline Model-Based Optimization via Policy-Guided Gradient Search. AAAI 2024: 11230-11239- [c17]Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang:
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching. ICML 2024 - [c16]Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa:
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. IJCAI 2024: 7269-7277 - [i17]Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa:
Offline Model-Based Optimization via Policy-Guided Gradient Search. CoRR abs/2405.05349 (2024) - [i16]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 abs/2406.00133 (2024) - [i15]Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson:
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces. CoRR abs/2409.05325 (2024) - 2023
- [j5]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): 84:1-84:21 (2023) - [c15]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: 7021-7039 - [c14]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 - [i14]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 abs/2303.01774 (2023) - 2022
- [j4]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): 1537-1549 (2022) - [c13]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim:
Bayesian Optimization over Permutation Spaces. AAAI 2022: 6515-6523 - [i13]Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. CoRR abs/2204.05944 (2022) - 2021
- [j3]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. J. Artif. Intell. Res. 72: 667-715 (2021) - [c12]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Mercer Features for Efficient Combinatorial Bayesian Optimization. AAAI 2021: 7210-7218 - [c11]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: 607-612 - [c10]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Bayesian Optimization over Hybrid Spaces. ICML 2021: 2632-2643 - [c9]Aryan Deshwal, Janardhan Rao Doppa:
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. NeurIPS 2021: 8185-8200 - [i12]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 abs/2105.09282 (2021) - [i11]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Bayesian Optimization over Hybrid Spaces. CoRR abs/2106.04682 (2021) - [i10]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. CoRR abs/2110.06980 (2021) - [i9]Aryan Deshwal, Janardhan Rao Doppa:
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. CoRR abs/2111.01186 (2021) - [i8]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim:
Bayesian Optimization over Permutation Spaces. CoRR abs/2112.01049 (2021) - 2020
- [j2]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): 4:1-4:24 (2020) - [c8]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI 2020: 3773-3780 - [c7]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. AAAI 2020: 10035-10043 - [c6]Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. AAAI 2020: 10044-10052 - [c5]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: 502-507 - [i7]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. CoRR abs/2008.07029 (2020) - [i6]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. CoRR abs/2008.08177 (2020) - [i5]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. CoRR abs/2009.01721 (2020) - [i4]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. CoRR abs/2009.05700 (2020) - [i3]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. CoRR abs/2011.01542 (2020) - [i2]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR abs/2012.07320 (2020) - [i1]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Mercer Features for Efficient Combinatorial Bayesian Optimization. CoRR abs/2012.07762 (2020)
2010 – 2019
- 2019
- [j1]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): 77:1-77:23 (2019) - [c4]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: 21:1-21:10 - [c3]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: 5130-5138 - [c2]Aryan Deshwal, Janardhan Rao Doppa, Dan Roth:
Learning and Inference for Structured Prediction: A Unifying Perspective. IJCAI 2019: 6291-6299 - [c1]Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Max-value Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS 2019: 7823-7833
Coauthor Index
aka: Jana Doppa
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last updated on 2024-10-21 20:32 CEST by the dblp team
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