Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Janardhan Rao Doppa

Janardhan Rao Doppa

Oregon State University

CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning


Sep 30, 2021
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook

* Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence 

  Access Paper or Ask Questions

Bayesian Optimization over Hybrid Spaces


Jun 08, 2021
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

* 14 pages, 18 figures 

  Access Paper or Ask Questions

SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms


Mar 23, 2021
Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande


  Access Paper or Ask Questions

Mercer Features for Efficient Combinatorial Bayesian Optimization


Dec 14, 2020
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

* 10 pages, 5 figures, Accepted at AAAI conference 2021 

  Access Paper or Ask Questions

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework


Dec 14, 2020
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern

* Proceedings of the AAAI Conference on Artificial Intelligence. 34, 04 (Apr. 2020), 3773-3780 
* 9 pages, 8 figures 

  Access Paper or Ask Questions

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach


Nov 02, 2020
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

* The Thirty-Fourth AAAI Conference on Artificial Intelligence AAAI, 2020 
* corrected typos. arXiv admin note: text overlap with arXiv:2009.05700 

  Access Paper or Ask Questions

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations


Sep 15, 2020
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa


  Access Paper or Ask Questions

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints


Sep 01, 2020
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

* 2 figure, 1 table. arXiv admin note: text overlap with arXiv:2008.07029 

  Access Paper or Ask Questions

Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints


Sep 01, 2020
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

* 7th ICML Workshop on Automated Machine Learning (2020) 
* 9 pages, 2 figures, 1 table 

  Access Paper or Ask Questions

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs


Aug 22, 2020
Sumit K. Mandal, Umit Y. Ogras, Janardhan Rao Doppa, Raid Z. Ayoub, Michael Kishinevsky, Partha P. Pande

* This paper appeared in the Proceedings of Design Automation Conference 2020 

  Access Paper or Ask Questions

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models


Aug 18, 2020
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

* 15 pages, 12 figures 

  Access Paper or Ask Questions

Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data


May 22, 2020
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook

* Accepted at KDD 2020 

  Access Paper or Ask Questions

An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms


Mar 20, 2020
Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Umit Y. Ogras

* This paper has been accepted to be published in a future issue of ACM TODAES 

  Access Paper or Ask Questions

One-Shot Induction of Generalized Logical Concepts via Human Guidance


Dec 15, 2019
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan

* STARAI '20, Workshop version 

  Access Paper or Ask Questions

Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach


Jan 29, 2019
Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande

* Vol. 37, No. 11, Pages 2881-2893, Nov 2018 
* Published in IEEE Trans. on CAD of Integrated Circuits and Systems 

  Access Paper or Ask Questions

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability


Jan 23, 2019
Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

* 47 pages including appendix; code is available at https://github.com/shubhomoydas/ad_examples. arXiv admin note: substantial text overlap with arXiv:1809.06477 

  Access Paper or Ask Questions

Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems


Oct 20, 2018
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu

* Under review at IEEE Transactions on Computers 

  Access Paper or Ask Questions

GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression


Oct 12, 2018
Shubhomoy Das, Janardhan Rao Doppa

* 6 pages, added more details on the equations, and made the texts in the figure larger 

  Access Paper or Ask Questions

Active Anomaly Detection via Ensembles


Sep 17, 2018
Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

* 14 pages 

  Access Paper or Ask Questions

Learning Scripts as Hidden Markov Models


Sep 11, 2018
J. Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Fern, Thomas G. Dietterich

* 7 pages, AAAI 2014 

  Access Paper or Ask Questions

Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis


Nov 30, 2017
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu

* To appear in a future publication of IEEE Computer 

  Access Paper or Ask Questions

Output Space Search for Structured Prediction


Jun 27, 2012
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

  Access Paper or Ask Questions