MERL - Mitsubishi Electric Research Laboratories

Publications

160 / 3,410 publications found.


  •  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}
    • }
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