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CDA: Contrastive-adversarial Domain Adaptation


Jan 10, 2023
Nishant Yadav, Mahbubul Alam, Ahmed Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly

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A Functional approach for Two Way Dimension Reduction in Time Series


Jan 01, 2023
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

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* IEEE BigData 2022 
* 10 pages, 4 figures, 4 tables 

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Sample-based Uncertainty Quantification with a Single Deterministic Neural Network


Sep 17, 2022
Takuya Kanazawa, Chetan Gupta

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* 14 pages. Accepted by the 14th International Conference on Neural Computation Theory and Applications (NCTA 2022) held as part of IJCCI 2022, October 24-26, 2022, Valletta, Malta 

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Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control


Jul 27, 2022
Takuya Kanazawa, Haiyan Wang, Chetan Gupta

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* 10 pages, 6 figures. Accepted to International Joint Conference on Neural Networks (IJCNN 2022), July 18-23, Padua, Italy 

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K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents


Jan 18, 2022
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta

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* 2021 IEEE International Conference on Big Data (Big Data) 

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An Offline Deep Reinforcement Learning for Maintenance Decision-Making


Sep 28, 2021
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat

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Deep Reinforcement Learning with Adjustments


Sep 28, 2021
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita

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Deep Time Series Models for Scarce Data


Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

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* Journal paper to appear in Neurocomputing 

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A Non-linear Function-on-Function Model for Regression with Time Series Data


Nov 24, 2020
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani

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* Accepted by IEEE Big Data 2020 

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Wisdom of the Ensemble: Improving Consistency of Deep Learning Models


Nov 13, 2020
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe

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