- Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/TASLP.2022.3224285, Vol. 31, pp. 397-410, December 2022.
BibTeX TR2022-166 PDF- @article{Wang2022dec2,
- author = {Wang, Zhong-Qiu and Wichern, Gordon and Watanabe, Shinji and Le Roux, Jonathan},
- title = {STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency},
- journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
- year = 2022,
- volume = 31,
- pages = {397--410},
- month = dec,
- doi = {10.1109/TASLP.2022.3224285},
- issn = {2329-9304},
- url = {https://www.merl.com/publications/TR2022-166}
- }
- Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC51059.2022.9992404, December 2022.
BibTeX TR2022-160 PDF- @inproceedings{Chakrabarty2022dec,
- author = {Chakrabarty, Ankush},
- title = {Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2022,
- month = dec,
- doi = {10.1109/CDC51059.2022.9992404},
- url = {https://www.merl.com/publications/TR2022-160}
- }
- Singla, V., Aeron, S., Koike-Akino, T., Parsons, K., Brand, M., Wang, Y., "Learning with noisy labels using low-dimensional model trajectory", NeurIPS 2022 Workshop on Distribution Shifts (DistShift), December 2022.
BibTeX TR2022-156 PDF- @inproceedings{Singla2022dec,
- author = {Singla, Vasu and Aeron, Shuchin and Koike-Akino, Toshiaki and Parsons, Kieran and Brand, Matthew and Wang, Ye},
- title = {Learning with noisy labels using low-dimensional model trajectory},
- booktitle = {NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications},
- year = 2022,
- month = dec,
- publisher = {OpenReview},
- url = {https://www.merl.com/publications/TR2022-156}
- }
- Tu, H., Moura, S., Wang, Y., Fang, H., "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries", Applied Energy, DOI: 10.1016/j.apenergy.2022.120289, Vol. 329, December 2022.
BibTeX TR2022-155 PDF- @article{Tu2022dec,
- author = {Tu, Hao and Moura, Scott and Wang, Yebin and Fang, Huazhen},
- title = {Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries},
- journal = {Applied Energy},
- year = 2022,
- volume = 329,
- month = dec,
- doi = {10.1016/j.apenergy.2022.120289},
- url = {https://www.merl.com/publications/TR2022-155}
- }
- Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), DOI: 10.1109/AVSS56176.2022.9959354, November 2022, pp. 1-8.
BibTeX TR2022-149 PDF- @inproceedings{Shimoya2022nov,
- author = {Shimoya, Ryosuke and Morimoto, Tahashi and van Baar, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
- title = {Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images},
- booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
- year = 2022,
- pages = {1--8},
- month = nov,
- doi = {10.1109/AVSS56176.2022.9959354},
- isbn = {978-1-6654-6382-9},
- url = {https://www.merl.com/publications/TR2022-149}
- }
- Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/978-3-031-19830-4_7, October 2022, pp. 111-127.
BibTeX TR2022-135 PDF Video Software Presentation- @inproceedings{Ahmed2022oct,
- author = {{Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K.}},
- title = {Cross-Modal Knowledge Transfer Without Task-Relevant Source Data},
- booktitle = {European Conference on Computer Vision (ECCV)},
- year = 2022,
- editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
- pages = {111--127},
- month = oct,
- publisher = {Springer},
- doi = {10.1007/978-3-031-19830-4_7},
- isbn = {978-3-031-19830-4},
- url = {https://www.merl.com/publications/TR2022-135}
- }
- Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP46576.2022.9897332, October 2022, pp. 2511-2515.
BibTeX TR2022-129 PDF Video- @inproceedings{Mansour2022oct,
- author = {{Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.}},
- title = {Distributed Radar Autofocus Imaging Using Deep Priors},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2022,
- pages = {2511--2515},
- month = oct,
- doi = {10.1109/ICIP46576.2022.9897332},
- url = {https://www.merl.com/publications/TR2022-129}
- }
- Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), DOI: 10.1109/BHI56158.2022.9926814, September 2022.
BibTeX TR2022-121 PDF Video Presentation- @inproceedings{Koike-Akino2022sep,
- author = {Koike-Akino, Toshiaki and Wang, Ye},
- title = {quEEGNet: Quantum AI for Biosignal Processing},
- booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
- year = 2022,
- month = sep,
- publisher = {IEEE},
- doi = {10.1109/BHI56158.2022.9926814},
- issn = {2641-3604},
- isbn = {978-1-6654-8791-7},
- url = {https://www.merl.com/publications/TR2022-121}
- }
- Suda, T., Nikovski, D., "Deep Reinforcement Learning for Optimal Sailing Upwind", IEEE International Joint Conference on Neural Networks IJCNN, DOI: 10.1109/IJCNN55064.2022.9892369, September 2022, pp. 1-8.
BibTeX TR2022-102 PDF- @inproceedings{Suda2022sep,
- author = {Suda, Takumi and Nikovski, Daniel},
- title = {Deep Reinforcement Learning for Optimal Sailing Upwind},
- booktitle = {IEEE International Joint Conference on Neural Networks IJCNN},
- year = 2022,
- pages = {1--8},
- month = sep,
- publisher = {IEEE},
- doi = {10.1109/IJCNN55064.2022.9892369},
- issn = {2161-4393},
- isbn = {978-1-7281-8671-9/22},
- url = {https://www.merl.com/publications/TR2022-102}
- }
- Wang, B., Talukder, K., Sakamoto, Y., "Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors", IEEE International Conference on Electrical Machines (ICEM), DOI: 10.1109/ICEM51905.2022.9910734, September 2022, pp. 1015-1021.
BibTeX TR2022-113 PDF- @inproceedings{Wang2022sep,
- author = {Wang, Bingnan and Talukder, Khaled and Sakamoto, Yusuke},
- title = {Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors},
- booktitle = {IEEE International Conference on Electrical Machines (ICEM)},
- year = 2022,
- pages = {1015--1021},
- month = sep,
- doi = {10.1109/ICEM51905.2022.9910734},
- url = {https://www.merl.com/publications/TR2022-113}
- }
- Kojima, K., Jung, M., Koike-Akino, T., Wang, Y., Brand, M., Parsons, K., "Deep Transfer Learning for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO) Pacific Rim, July 2022.
BibTeX TR2022-107 PDF- @inproceedings{Kojima2022jul,
- author = {Kojima, Keisuke and Jung, Minwoo and Koike-Akino, Toshiaki and Wang, Ye and Brand, Matthew and Parsons, Kieran},
- title = {Deep Transfer Learning for Nanophotonic Device Design},
- booktitle = {Proceedings of the 2022 Conference on Lasers and Electro-Optics Pacific Rim},
- year = 2022,
- month = jul,
- publisher = {Optica Publishing Group},
- url = {https://www.merl.com/publications/TR2022-107}
- }
- Nasrin, S., Shylendra, A., Darabi, N., Tulabandhula, T., Gomes, W., Chakrabarty, A., Trivedi, A., "ENOS: Energy-aware Network Operator Search in Deep Neural Networks", IEEE Access, DOI: 10.1109/ACCESS.2022.3192515, July 2022.
BibTeX IEEE Access- @article{Nasrin2022jul,
- author = {Nasrin, Shamma and Shylendra, Ahish and Darabi, Nastaran and Tulabandhula, Theja and Gomes, Wilfred and Chakrabarty, Ankush and Trivedi, Amit},
- title = {ENOS: Energy-aware Network Operator Search in Deep Neural Networks},
- journal = {IEEE Access},
- year = 2022,
- month = jul,
- doi = {10.1109/ACCESS.2022.3192515},
- url = {https://ieeexplore.ieee.org/document/9833492}
- }
- Rambhatla, S., Jones, M.J., Chellappa, R., "An Empirical Analysis of Boosting Deep Networks", International Joint Conference on Neural Networks (IJCNN), DOI: 10.1109/IJCNN55064.2022.9892204, July 2022.
BibTeX TR2022-075 PDF Presentation- @inproceedings{Rambhatla2022jul,
- author = {Rambhatla, Sai and Jones, Michael J. and Chellappa, Rama},
- title = {An Empirical Analysis of Boosting Deep Networks},
- booktitle = {International Joint Conference on Neural Networks (IJCNN)},
- year = 2022,
- month = jul,
- doi = {10.1109/IJCNN55064.2022.9892204},
- url = {https://www.merl.com/publications/TR2022-075}
- }
- Shirsat, A., Sun, H., Kim, K.J., Guo, J., Nikovski, D.N., "ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements", IEEE PES General Meeting, DOI: 10.1109/PESGM48719.2022.9916802, July 2022.
BibTeX TR2022-101 PDF- @inproceedings{Shirsat2022jul,
- author = {Shirsat, Ashwin and Sun, Hongbo and Kim, Kyeong Jin and Guo, Jianlin and Nikovski, Daniel N.},
- title = {ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements},
- booktitle = {2022 IEEE Power \& Energy Society General Meeting (PESGM)},
- year = 2022,
- month = jul,
- doi = {10.1109/PESGM48719.2022.9916802},
- url = {https://www.merl.com/publications/TR2022-101}
- }
- Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/EMBC48229.2022.9871984, July 2022.
BibTeX TR2022-097 PDF- @inproceedings{Demir2022jul,
- author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
- title = {EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals},
- booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
- year = 2022,
- month = jul,
- publisher = {IEEE},
- doi = {10.1109/EMBC48229.2022.9871984},
- issn = {2694-0604},
- isbn = {978-1-7281-2782-8},
- url = {https://www.merl.com/publications/TR2022-097}
- }
- Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.
BibTeX TR2022-096 PDF- @inproceedings{Cao2022jul,
- author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
- title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
- booktitle = {ACM/IEEE Design Automation Conference},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-096}
- }
- Kodama, T., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node", Optics Express, DOI: 10.1364/OE.449812, Vol. 30, No. 7, pp. 10866-10876, June 2022.
BibTeX TR2022-091 PDF- @article{Kodama2022jun,
- author = {Kodama, Takahiro and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
- title = {DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node},
- journal = {Optics Express},
- year = 2022,
- volume = 30,
- number = 7,
- pages = {10866--10876},
- month = jun,
- doi = {10.1364/OE.449812},
- url = {https://www.merl.com/publications/TR2022-091}
- }
- Elango, P., Di Cairano, S., Kalabic, U., Weiss, A., "Local Eigenmotion Control for Near Rectilinear Halo Orbits", American Control Conference (ACC), DOI: 10.23919/ACC53348.2022.9867672, June 2022, pp. 1822-1827.
BibTeX TR2022-060 PDF- @inproceedings{Elango2022jun,
- author = {Elango, Purnanand and Di Cairano, Stefano and Kalabic, Uros and Weiss, Avishai},
- title = {Local Eigenmotion Control for Near Rectilinear Halo Orbits},
- booktitle = {American Control Conference (ACC)},
- year = 2022,
- pages = {1822--1827},
- month = jun,
- doi = {10.23919/ACC53348.2022.9867672},
- issn = {2378-5861},
- isbn = {978-1-6654-5196-3},
- url = {https://www.merl.com/publications/TR2022-060}
- }
- Koike-Akino, T., Wang, P., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), DOI: 10.1109/ICC45855.2022.9839011, May 2022.
BibTeX TR2022-044 PDF Video Presentation- @inproceedings{Koike-Akino2022may2,
- author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
- title = {Quantum Transfer Learning for Wi-Fi Sensing},
- booktitle = {IEEE International Conference on Communications (ICC)},
- year = 2022,
- month = may,
- doi = {10.1109/ICC45855.2022.9839011},
- issn = {1938-1883},
- isbn = {978-1-5386-8347-7},
- url = {https://www.merl.com/publications/TR2022-044}
- }
- Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/CLEO_SI.2022.SW5E.6, May 2022.
BibTeX TR2022-047 PDF Video Presentation- @inproceedings{Jung2022may,
- author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew},
- title = {Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2022,
- month = may,
- publisher = {Optica},
- doi = {10.1364/CLEO_SI.2022.SW5E.6},
- isbn = {978-1-957171-05-0},
- url = {https://www.merl.com/publications/TR2022-047}
- }
- Koike-Akino, T., Kojima, K., Wang, Y., "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/CLEO_AT.2022.JW3A.44, May 2022.
BibTeX TR2022-046 PDF Presentation- @inproceedings{Koike-Akino2022may3,
- author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
- title = {AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2022,
- month = may,
- publisher = {Optica},
- doi = {10.1364/CLEO_AT.2022.JW3A.44},
- isbn = {978-1-957171-05-0},
- url = {https://www.merl.com/publications/TR2022-046}
- }
- Cauligi, A., Chakrabarty, A., Di Cairano, S., Quirynen, R., "PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control", Learning for Dynamics and Control Conference (L4DC), April 2022, pp. 34-46.
BibTeX TR2022-039 PDF- @inproceedings{Cauligi2022apr,
- author = {Cauligi, Abhishek and Chakrabarty, Ankush and Di Cairano, Stefano and Quirynen, Rien},
- title = {PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control},
- booktitle = {Learning for Dynamics and Control Conference (L4DC)},
- year = 2022,
- pages = {34--46},
- month = apr,
- publisher = {Proceedings of Machine Learning Research (PMLR)},
- url = {https://www.merl.com/publications/TR2022-039}
- }
- Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning", AAAI Conference on Artificial Intelligence, February 2022.
BibTeX TR2022-017 PDF- @inproceedings{Cao2022feb,
- author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
- title = {Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning},
- booktitle = {AAAI Conference on Artificial Intelligence},
- year = 2022,
- month = feb,
- url = {https://www.merl.com/publications/TR2022-017}
- }
- Chakrabarty, A., Danielson, C., Bortoff, S.A., Laughman, C.R., "Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation", Applied Thermal Engineering, DOI: 10.1016/j.applthermaleng.2021.117335, Vol. 197, pp. 117335, February 2022.
BibTeX TR2022-010 PDF- @article{Chakrabarty2022feb,
- author = {Chakrabarty, Ankush and Danielson, Claus and Bortoff, Scott A. and Laughman, Christopher R.},
- title = {Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation},
- journal = {Applied Thermal Engineering},
- year = 2022,
- volume = 197,
- pages = 117335,
- month = feb,
- doi = {10.1016/j.applthermaleng.2021.117335},
- url = {https://www.merl.com/publications/TR2022-010}
- }
- Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022.
BibTeX TR2022-006 PDF Presentation- @inproceedings{Lohit2022jan,
- author = {Lohit, Suhas and Jones, Michael J.},
- title = {Model Compression Using Optimal Transport},
- booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
- year = 2022,
- month = jan,
- publisher = {CVF OpenAccess},
- url = {https://www.merl.com/publications/TR2022-006}
- }