Publications

573 / 3,704 publications found.


  •  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}
    • }
  •  Higuchi, Y., Moritz, N., Le Roux, J., Hori, T., "Momentum Pseudo-Labeling: Semi-Supervised ASR with Continuously Improving Pseudo-Labels", IEEE Journal of Selected Topics in Signal Processing, DOI: 10.1109/​JSTSP.2022.3195367, Vol. 16, No. 6, pp. 1424-1438, September 2022.
    BibTeX TR2022-112 PDF
    • @article{Higuchi2022sep,
    • author = {Higuchi, Yosuke and Moritz, Niko and Le Roux, Jonathan and Hori, Takaaki},
    • title = {Momentum Pseudo-Labeling: Semi-Supervised ASR with Continuously Improving Pseudo-Labels},
    • journal = {IEEE Journal of Selected Topics in Signal Processing},
    • year = 2022,
    • volume = 16,
    • number = 6,
    • pages = {1424--1438},
    • month = sep,
    • doi = {10.1109/JSTSP.2022.3195367},
    • issn = {1941-0484},
    • url = {https://www.merl.com/publications/TR2022-112}
    • }
  •  Russel, R.H., Benosman, M., van Baar, J., Corcodel, R., "Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning" in Federated and Transfer Learning, August 2022.
    BibTeX TR2022-111 PDF
    • @incollection{Russel2022aug,
    • author = {Russel, Reazul Hasan and Benosman, Mouhacine and van Baar, Jeroen and Corcodel, Radu},
    • title = {Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning},
    • booktitle = {Federated and Transfer Learning},
    • year = 2022,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2022-111}
    • }
  •  Koike-Akino, T., Wang, P., Yamashita, G., Tsujita, W., Nakajima, M., "Quantum Feature Extraction for THz Multi-Layer Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50927.2022.9896037, August 2022.
    BibTeX TR2022-110 PDF Video Presentation
    • @inproceedings{Koike-Akino2022aug,
    • author = {Koike-Akino, Toshiaki and Wang, Pu and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
    • title = {Quantum Feature Extraction for THz Multi-Layer Imaging},
    • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
    • year = 2022,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/IRMMW-THz50927.2022.9896037},
    • issn = {2162-2035},
    • isbn = {978-1-7281-9427-1},
    • url = {https://www.merl.com/publications/TR2022-110}
    • }
  •  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) 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}
    • }
  •  Yu, J., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., Buehrer, R.M., "Multi-Band Wi-Fi Sensing with Matched Feature Granularity", IEEE Internet of Things Journal, DOI: 10.1109/​JIOT.2022.3190826, July 2022.
    BibTeX TR2022-105 PDF
    • @article{Yu2022jul,
    • author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Buehrer, R. Michael},
    • title = {Multi-Band Wi-Fi Sensing with Matched Feature Granularity},
    • journal = {IEEE Internet of Things Journal},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/JIOT.2022.3190826},
    • issn = {2327-4662},
    • url = {https://www.merl.com/publications/TR2022-105}
    • }
  •  Koike-Akino, T., Wang, Y., "AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT50566.2022.9834769, July 2022.
    BibTeX TR2022-071 PDF Video Presentation
    • @inproceedings{Koike-Akino2022jul,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing},
    • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT50566.2022.9834769},
    • issn = {2157-8117},
    • isbn = {978-1-6654-2159-1},
    • url = {https://www.merl.com/publications/TR2022-071}
    • }
  •  Xia, H., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., Ding, Z., "Adversarial Bi-Regressor Network for Domain Adaptive Regression", International Joint Conference on Artificial Intelligence (IJCAI), Lud De Raedt, Eds., DOI: 10.24963/​ijcai.2022/​501, July 2022, pp. 3608-3614.
    BibTeX TR2022-103 PDF
    • @inproceedings{Xia2022jul,
    • author = {Xia, Haifeng and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Ding, Zhengming},
    • title = {Adversarial Bi-Regressor Network for Domain Adaptive Regression},
    • booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
    • year = 2022,
    • editor = {Lud De Raedt},
    • pages = {3608--3614},
    • month = jul,
    • publisher = {IJCAI},
    • doi = {10.24963/ijcai.2022/501},
    • url = {https://www.merl.com/publications/TR2022-103}
    • }
  •  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}
    • }
  •  Zhang, J., Tsiligkaridis, A., Taguchi, H., Raghunathan, A., Nikovski, D.N., "Transformer Networks for Predictive Group Elevator Control", European Control Conference (ECC), DOI: 10.23919/​ECC55457.2022.9838059, July 2022.
    BibTeX TR2022-100 PDF
    • @inproceedings{Zhang2022jul,
    • author = {Zhang, Jing and Tsiligkaridis, Athanasios and Taguchi, Hiroshi and Raghunathan, Arvind and Nikovski, Daniel N.},
    • title = {Transformer Networks for Predictive Group Elevator Control},
    • booktitle = {European Control Conference (ECC)},
    • year = 2022,
    • month = jul,
    • doi = {10.23919/ECC55457.2022.9838059},
    • url = {https://www.merl.com/publications/TR2022-100}
    • }
  •  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}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871649, July 2022.
    BibTeX TR2022-098 PDF Software
    • @inproceedings{Smedemark-Margulies2022jul,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
    • booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871649},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-098}
    • }
  •  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}
    • }
  •  Menner, M., Ma, Z., Berntorp, K., Di Cairano, S., "Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data", European Control Conference (ECC), DOI: 10.23919/​ECC55457.2022.9838135, July 2022, pp. 769-774.
    BibTeX TR2022-095 PDF
    • @inproceedings{Menner2022jul,
    • author = {Menner, Marcel and Ma, Ziyi and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data},
    • booktitle = {European Control Conference (ECC)},
    • year = 2022,
    • pages = {769--774},
    • month = jul,
    • doi = {10.23919/ECC55457.2022.9838135},
    • url = {https://www.merl.com/publications/TR2022-095}
    • }
  •  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}
    • }
  •  Schperberg, A., Di Cairano, S., Menner, M., "Auto-Tuning of Controller and Online Trajectory Planner for Legged Robots", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2022.3185387, Vol. 7, No. 3, pp. 7802-7809, June 2022.
    BibTeX TR2022-085 PDF
    • @article{Schperberg2022jun,
    • author = {Schperberg, Alexander and Di Cairano, Stefano and Menner, Marcel},
    • title = {Auto-Tuning of Controller and Online Trajectory Planner for Legged Robots},
    • journal = {IEEE Robotics and Automation Letters},
    • year = 2022,
    • volume = 7,
    • number = 3,
    • pages = {7802--7809},
    • month = jun,
    • doi = {10.1109/LRA.2022.3185387},
    • url = {https://www.merl.com/publications/TR2022-085}
    • }
  •  Dzieciol, H., Koike-Akino, T., Wang, Y., Parsons, K., "Inverse Regular Perturbation with ML-Assisted Phasor Correction for Fiber Nonlinearity Compensation", Optics Letters, DOI: 10.1364/​OL.460929, Vol. 47, No. 14, pp. 3471-3474, June 2022.
    BibTeX TR2022-070 PDF
    • @article{Dzieciol2022jun,
    • author = {Dzieciol, Hubert and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
    • title = {Inverse Regular Perturbation with ML-Assisted Phasor Correction for Fiber Nonlinearity Compensation},
    • journal = {Optics Letters},
    • year = 2022,
    • volume = 47,
    • number = 14,
    • pages = {3471--3474},
    • month = jun,
    • doi = {10.1364/OL.460929},
    • url = {https://www.merl.com/publications/TR2022-070}
    • }
  •  Sullivan, A., Wang, J., Li, X., Chen, S., Abbot, L., "PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences", CVPR Workshop on Autonomous Driving, June 2022.
    BibTeX TR2022-083 PDF
    • @inproceedings{Sullivan2022jun,
    • author = {Sullivan, Alan and Wang, Jun and Li, Xiaolong and Chen, Siheng and Abbot, Lynn},
    • title = {PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences},
    • booktitle = {CVPR Workshop on Autonomous Driving},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-083}
    • }
  •  Koike-Akino, T., Wang, P., Wang, Y., "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/​SAM53842.2022.9827846, June 2022.
    BibTeX TR2022-068 PDF Video Presentation
    • @inproceedings{Koike-Akino2022jun,
    • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
    • title = {AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications},
    • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
    • year = 2022,
    • month = jun,
    • doi = {10.1109/SAM53842.2022.9827846},
    • url = {https://www.merl.com/publications/TR2022-068}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 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 = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    • 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}
    • }
  •  Sun, Y., Benosman, M., Ma, R., "GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning", International Conference on Artificial Intelligence Circuits and Systems (AICAS), June 2022.
    BibTeX TR2022-074 PDF
    • @inproceedings{Sun2022jun,
    • author = {Sun, Yuxiang and Benosman, Mouhacine and Ma, Rui},
    • title = {GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning},
    • booktitle = {International Conference on Artificial Intelligence Circuits and Systems (AICAS)},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-074}
    • }
  •  Berntorp, K., Menner, M., "Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867635, June 2022, pp. 940-945.
    BibTeX TR2022-066 PDF
    • @inproceedings{Berntorp2022jun,
    • author = {Berntorp, Karl and Menner, Marcel},
    • title = {Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {940--945},
    • month = jun,
    • doi = {10.23919/ACC53348.2022.9867635},
    • url = {https://www.merl.com/publications/TR2022-066}
    • }
  •  Xu, W., Jones, C., Svetozarevic, B., Laughman, C.R., Chakrabarty, A., "VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints", American Control Conference (ACC), June 2022, pp. 5288-5293.
    BibTeX TR2022-064 PDF
    • @inproceedings{Xu2022jun,
    • author = {Xu, Wenjie and Jones, Colin and Svetozarevic, Bratislav and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {5288--5293},
    • month = jun,
    • isbn = {978-1-6654-5197-0},
    • url = {https://www.merl.com/publications/TR2022-064}
    • }