MERL - Mitsubishi Electric Research Laboratories

Publications

3,453 major publications by members of the MERL staff.


  •  Talukder, K., Wang, B., Sakamoto, Y., "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems (ICEMS), 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 (ICEMS)},
    • year = 2022,
    • pages = {1--4},
    • month = dec,
    • doi = {10.1109/ICEMS56177.2022.9982881},
    • url = {https://www.merl.com/publications/TR2022-152}
    • }
  •  Masui, H., Romeres, D., Nikovski, D.N., "Transfer Learning for Bayesian Optimization with Principal Component Analysis", International Conference on Machine Learning and Applications (ICMLA), December 2022, pp. 1077-1084.
    BibTeX TR2022-169 PDF
    • @inproceedings{Masui2022dec,
    • author = {Masui, Hideyuki and Romeres, Diego and Nikovski, Daniel N.},
    • title = {Transfer Learning for Bayesian Optimization with Principal Component Analysis},
    • booktitle = {International Conference on Machine Learning and Applications (ICMLA)},
    • year = 2022,
    • pages = {1077--1084},
    • month = dec,
    • publisher = {IEEE},
    • isbn = {978-1-6654-6283-9},
    • url = {https://www.merl.com/publications/TR2022-169}
    • }
  •  Kim, K.J., Liu, H., Wen, M., Tsiftsis, T.A., Orlik, P.V., Poor, H.V., "QR Decomposition-based Cyclic Prefixed Single-Carrier Transmissions for Cooperative Communications: Concepts and Research Landscape", IEEE Communications Surveys and Tutorials, December 2022.
    BibTeX TR2022-167 PDF
    • @article{Kim2022dec,
    • author = {Kim, Kyeong Jin and Liu, Hongwu and Wen, Maiwen and Tsiftsis, Theodoros A. and Orlik, Philip V. and Poor, H. Vincent},
    • title = {QR Decomposition-based Cyclic Prefixed Single-Carrier Transmissions for Cooperative Communications: Concepts and Research Landscape},
    • journal = {IEEE Communications Surveys and Tutorials},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-167}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/​TSMC.2022.3216790, December 2022.
    BibTeX TR2022-168 PDF
    • @article{Chakrabarty2022dec2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation},
    • journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/TSMC.2022.3216790},
    • url = {https://www.merl.com/publications/TR2022-168}
    • }
  •  Singh, A., Jones, M.J., Learned-Miller, E., "EVAL: Explainable Video Anomaly Localization", arXiv, December 2022.
    BibTeX arXiv
    • @article{Singh2022dec,
    • author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik},
    • title = {EVAL: Explainable Video Anomaly Localization},
    • journal = {arXiv},
    • year = 2022,
    • month = dec,
    • url = {https://arxiv.org/abs/2212.07900}
    • }
  •  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}
    • }
  •  Anantaram, V., Wang, Y., "Sensorless Control of Synchronous Machines with DC-Link Voltage Immunity and Adaptation", IEEE Power Electronics, Drives and Energy Systems, DOI: 10.1109/​PEDES56012.2022.10080212, December 2022.
    BibTeX TR2022-165 PDF
    • @inproceedings{Anantaram2022dec,
    • author = {Anantaram, Varatharajan and Wang, Yebin},
    • title = {Sensorless Control of Synchronous Machines with DC-Link Voltage Immunity and Adaptation},
    • booktitle = {IEEE Power Electronics, Drives and Energy Systems},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/PEDES56012.2022.10080212},
    • url = {https://www.merl.com/publications/TR2022-165}
    • }
  •  Soushi Ueno, , Fujihashi, T., Koike-Akino, T., Watanabe, T., "Point Cloud Soft Multicast for Untethered XR Users", IEEE Transactions on Multimedia, December 2022.
    BibTeX TR2022-164 PDF
    • @article{SoushiUeno;Fujihashi2022dec,
    • author = {Soushi Ueno and Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {Point Cloud Soft Multicast for Untethered XR Users},
    • journal = {IEEE Transactions on Multimedia},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-164}
    • }
  •  Petermann, D., Wichern, G., Subramanian, A.S., Wang, Z.-Q., Le Roux, J., "Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks", arXiv, December 2022.
    BibTeX arXiv
    • @article{Petermann2022dec2,
    • author = {Petermann, Darius and Wichern, Gordon and Subramanian, Aswin Shanmugam and Wang, Zhong-Qiu and Le Roux, Jonathan},
    • title = {Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks},
    • journal = {arXiv},
    • year = 2022,
    • month = dec,
    • url = {https://arxiv.org/abs/2212.07327}
    • }
  •  Mowlavi, S., Nabi, S., "Optimal Control of PDEs Using Physics-Informed Neural Networks", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2022.
    BibTeX TR2022-163 PDF
    • @inproceedings{Mowlavi2022dec,
    • author = {Mowlavi, Saviz and Nabi, Saleh},
    • title = {Optimal Control of PDEs Using Physics-Informed Neural Networks},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-163}
    • }
  •  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}
    • }
  •  Greiff, M., Berntorp, K., "Distributed Kalman Filtering: When to Share Measurements", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9993404, December 2022, pp. 5399-5404.
    BibTeX TR2022-158 PDF
    • @inproceedings{Greiff2022dec,
    • author = {Greiff, Marcus and Berntorp, Karl},
    • title = {Distributed Kalman Filtering: When to Share Measurements},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • pages = {5399--5404},
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/CDC51059.2022.9993404},
    • issn = {2576-2370},
    • isbn = {978-1-6654-6761-2},
    • url = {https://www.merl.com/publications/TR2022-158}
    • }
  •  Paulson, J.A., Sorouifar, F., Chakrabarty, A., "Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992943, December 2022.
    BibTeX TR2022-161 PDF
    • @inproceedings{Paulson2022dec,
    • author = {Paulson, Joel A. and Sorouifar, Farshud and Chakrabarty, Ankush},
    • title = {Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992943},
    • url = {https://www.merl.com/publications/TR2022-161}
    • }
  •  Raghunathan, A., Jha, D.K., Romeres, D., "Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992979, December 2022, pp. 7571-7578.
    BibTeX TR2022-157 PDF
    • @inproceedings{Raghunathan2022dec,
    • author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
    • title = {Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs},
    • booktitle = {IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico},
    • year = 2022,
    • pages = {7571--7578},
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992979},
    • url = {https://www.merl.com/publications/TR2022-157}
    • }
  •  Romero, O., Benosman, M., Pappas, G., "ODE Discretization Schemes as Optimization Algorithms", IEEE Conference on Decision and Control (CDC), December 2022.
    BibTeX TR2022-159 PDF
    • @inproceedings{Romero2022dec,
    • author = {Romero, Orlando and Benosman, Mouhacine and Pappas, Geroge},
    • title = {ODE Discretization Schemes as Optimization Algorithms},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-159}
    • }
  •  Tu, H., Wang, Y., Li, X., Fang, H., "Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992543, December 2022.
    BibTeX TR2022-162 PDF
    • @inproceedings{Tu2022dec2,
    • author = {Tu, Hao and Wang, Yebin and Li, Xianglin and Fang, Huazhen},
    • title = {Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992543},
    • url = {https://www.merl.com/publications/TR2022-162}
    • }
  •  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}
    • }
  •  Naito, K., Kitamura, S., Mori, K., Raghunathan, A., Nikovski, D.N., "Power Band Model Based on Flow Network and Weekly Unit Commitment Problem Considering Reserve Market", IEEJ Transactions on Power and Energy, DOI: 10.1541/​ieejpes.142.583, Vol. 142, No. 12, pp. 583-593, December 2022.
    BibTeX J-STAGE
    • @article{Naito2022dec,
    • author = {Naito, Kento and Kitamura, Shoichi and Mori, Kazuyuki and Raghunathan, Arvind and Nikovski, Daniel N.},
    • title = {Power Band Model Based on Flow Network and Weekly Unit Commitment Problem Considering Reserve Market},
    • journal = {IEEJ Transactions on Power and Energy},
    • year = 2022,
    • volume = 142,
    • number = 12,
    • pages = {583--593},
    • month = dec,
    • doi = {10.1541/ieejpes.142.583},
    • url = {https://www.jstage.jst.go.jp/article/ieejpes/142/12/142_583/_article/-char/en/}
    • }
  •  Waters, R.C., "MERL Annual Report 2022", Tech. Rep. TR2022-000, Mitsubishi Electric Research Laboratories, Cambridge, MA, November 2022.
    BibTeX TR2022-000 PDF
    • @techreport{MERL_TR2022-000,
    • author = {Waters, R.C.},
    • title = {MERL Annual Report 2022},
    • institution = {MERL - Mitsubishi Electric Research Laboratories},
    • address = {Cambridge, MA 02139},
    • number = {TR2022-000},
    • month = nov,
    • year = 2022,
    • url = {https://www.merl.com/publications/TR2022-000/}
    • }
  •  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}
    • }
  •  Liu, D., Inoue, H., Kanemaru, M., "Robust Motor Current Signature Analysis (MCSA)-based Fault Detection under Varying Operating Conditions", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/​ICEMS56177.2022.9983454, November 2022.
    BibTeX TR2022-150 PDF
    • @inproceedings{Liu2022nov2,
    • author = {Liu, Dehong and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Robust Motor Current Signature Analysis (MCSA)-based Fault Detection under Varying Operating Conditions},
    • booktitle = {International Conference on Electrical Machines and Systems (ICEMS) 2022},
    • year = 2022,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/ICEMS56177.2022.9983454},
    • issn = {2642-5513},
    • isbn = {978-1-6654-9302-4},
    • url = {https://www.merl.com/publications/TR2022-150}
    • }
  •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 36466-36478.
    BibTeX TR2022-148 PDF Presentation
    • @inproceedings{Romero2022nov,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning Partial Equivariances from Data},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {36466--36478},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-148}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 13456-13469.
    BibTeX TR2022-147 PDF
    • @inproceedings{Wang2022nov,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {13456--13469},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-147}
    • }
  •  Quirynen, R., Di Cairano, S., "Tailored Presolve Techniques in Branch-and-Bound Method for Fast Mixed-Integer Optimal Control Applications", arXiv, November 2022.
    BibTeX arXiv
    • @article{Quirynen2022nov,
    • author = {Quirynen, Rien and Di Cairano, Stefano},
    • title = {Tailored Presolve Techniques in Branch-and-Bound Method for Fast Mixed-Integer Optimal Control Applications},
    • journal = {arXiv},
    • year = 2022,
    • month = nov,
    • url = {https://arxiv.org/abs/2211.12700}
    • }
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