- Kojima, K., Koike-Akino, T., Wang, Y., Jung Minwoo, , Brand, M., "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", SPIE Photonics West, January 2023.
BibTeX TR2023-004 PDF- @inproceedings{Kojima2023jan,
- author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jung Minwoo and Brand, Matthew},
- title = {Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder},
- booktitle = {SPIE Photonics West},
- year = 2023,
- month = jan,
- url = {https://www.merl.com/publications/TR2023-004}
- }
- Liu, T., Cherian, A., "Learning a Constrained Optimizer: A Primal Method", AAAI Conference on Artificial Intelligence, January 2023.
BibTeX TR2023-003 PDF- @inproceedings{Liu2023jan,
- author = {Liu, Tao and Cherian, Anoop},
- title = {Learning a Constrained Optimizer: A Primal Method},
- booktitle = {AAAI Conference on Artificial Intelligence},
- year = 2023,
- month = jan,
- url = {https://www.merl.com/publications/TR2023-003}
- }
- Bhattacharya, C., Chakrabarty, A., Laughman, C.R., Qiao, H., "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, December 2022.
BibTeX TR2022-170 PDF- @inproceedings{Bhattacharya2022dec,
- author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
- title = {https://iwww.merl.com/TR/camready-4505.pdf},
- booktitle = {Modeling, Estimation and Control Conference},
- year = 2022,
- month = dec,
- url = {https://www.merl.com/publications/TR2022-170}
- }
- Talukder, K., Wang, B., Sakamoto, Y., "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems, DOI: 10.1109/ICEMS56177.2022.9982881, December 2022, pp. 1-4.
BibTeX TR2022-152 PDF- @inproceedings{Talukder2022dec,
- author = {Talukder, Khaled and Wang, Bingnan and Sakamoto, Yusuke},
- title = {Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning},
- booktitle = {International Conference on Electrical Machines and Systems},
- year = 2022,
- pages = {1--4},
- month = dec,
- doi = {10.1109/ICEMS56177.2022.9982881},
- url = {https://www.merl.com/publications/TR2022-152}
- }
- 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, 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,
- month = dec,
- 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 (DistShift)},
- year = 2022,
- month = dec,
- 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), November 2022.
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,
- month = nov,
- url = {https://www.merl.com/publications/TR2022-149}
- }
- Chatterjee, M., Ahuja, N., Cherian, A., "Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
BibTeX TR2022-140 PDF- @inproceedings{Chatterjee2022nov,
- author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
- title = {Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2022,
- month = nov,
- url = {https://www.merl.com/publications/TR2022-140}
- }
- 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 = {Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXIV},
- 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), October 2022.
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,
- month = oct,
- 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}
- }
- Zhan, S., Wichern, G., Laughman, C.R., Chong, A., Chakrabarty, A., "Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization", Energy and Buildings, DOI: 10.1016/j.enbuild.2022.112278, Vol. 270, pp. 112278, September 2022.
BibTeX TR2022-072 PDF- @article{Zhan2023jan,
- author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chong, Adrian and Chakrabarty, Ankush},
- title = {Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization},
- journal = {Energy and Buildings},
- year = 2022,
- volume = 270,
- pages = 112278,
- month = sep,
- doi = {10.1016/j.enbuild.2022.112278},
- url = {https://www.merl.com/publications/TR2022-072}
- }
- Liu, Bryan, Koike-Akino, Toshiaki, Wang, Ye, Kim, Kyeong Jin, Brand, Matthew, Aeron, Shuchin, Parsons, Kieran, "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", Tech. Rep. TR2022-081, Mitsubishi Electric Research Laboratories, Cambridge, MA, August 2022.
BibTeX TR2022-081 PDF- @techreport{MERL_TR2022-081,
- author = {Liu, Bryan; Koike-Akino, Toshiaki; Wang, Ye; Kim, Kyeong Jin; Brand, Matthew; Aeron, Shuchin; Parsons, Kieran},
- title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
- institution = {MERL - Mitsubishi Electric Research Laboratories},
- address = {Cambridge, MA 02139},
- number = {TR2022-081},
- month = aug,
- year = 2022,
- url = {https://www.merl.com/publications/TR2022-081/}
- }
- 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) Pasific 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 = {Conference on Lasers and Electro-Optics (CLEO) Pasific Rim},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-107}
- }
- Rambhatla, S., Jones, M.J., Chellappa, R., "An Empirical Analysis of Boosting Deep Networks", International Joint Conference on Neural Networks (IJCNN), 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,
- 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}
- }
- Chatterjee, M., Ahuja, N., Cherian, A., "Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
BibTeX TR2022-082 PDF- @inproceedings{Chatterjee2022jun,
- author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
- title = {Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio},
- booktitle = {Sight and Sound Workshop at CVPR 2022},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-082}
- }
- Liu, B., Koike-Akino, T., Wang, Y., Kim, K.J., Brand, M., Aeron, S., Parsons, K., "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", IEEE Information Theory and Applications Workshop (ITA), June 2022.
BibTeX TR2022-080 PDF Presentation- @inproceedings{Liu2022jun,
- author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Brand, Matthew and Aeron, Shuchin and Parsons, Kieran},
- title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
- booktitle = {IEEE Information Theory and Applications Workshop (ITA)},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-080}
- }