MERL - Mitsubishi Electric Research Laboratories

Publications

164 / 3,439 publications found.


  •  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}
    • }
  •  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}
    • }
  •  Koike-Akino, T., Pu, W., 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 Pu, Wang 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}
    • }
  •  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}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2021.3129363, Vol. 29, pp. 3476-3490, December 2021.
    BibTeX TR2021-144 PDF
    • @article{Wang2021dec,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2021,
    • volume = 29,
    • pages = {3476--3490},
    • month = dec,
    • doi = {10.1109/TASLP.2021.3129363},
    • url = {https://www.merl.com/publications/TR2021-144}
    • }
  •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems, Alan Pak Tao Lau and Faisal Nadeem Khan, Eds., DOI: 10.1016/​B978-0-32-385227-2.00018-8, pp. 337-374, Academic Press, November 2021.
    BibTeX TR2021-142 PDF
    • @incollection{Kojima2021nov,
    • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {Machine Learning for design and optimization of photonic devices},
    • booktitle = {Machine Learning for Future Fiber Optic Communication Systems},
    • year = 2021,
    • editor = {Alan Pak Tao Lau and Faisal Nadeem Khan},
    • pages = {337--374},
    • month = nov,
    • publisher = {Academic Press},
    • doi = {10.1016/B978-0-32-385227-2.00018-8},
    • isbn = {978-0-323-85227-2},
    • url = {https://www.merl.com/publications/TR2021-142}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
    BibTeX TR2021-136 PDF Video Presentation
    • @inproceedings{Demir2021oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
    • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC46164.2021.9630194},
    • issn = {2694-0604},
    • isbn = {978-1-7281-1179-7},
    • url = {https://www.merl.com/publications/TR2021-136}
    • }
  •  Li, X., Kojima, K., Brand, M., "Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics", IEEE Photonics Conference (IPC), DOI: 10.1109/​IPC48725.2021.9593086, October 2021, pp. 1-2.
    BibTeX TR2021-140 PDF
    • @inproceedings{Li2021oct,
    • author = {Li, Xinhao and Kojima, Keisuke and Brand, Matthew},
    • title = {Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics},
    • booktitle = {IEEE Photonics Conference (IPC)},
    • year = 2021,
    • pages = {1--2},
    • month = oct,
    • doi = {10.1109/IPC48725.2021.9593086},
    • url = {https://www.merl.com/publications/TR2021-140}
    • }
  •  Chakrabarty, A., Quirynen, R., Romeres, D., Di Cairano, S., "Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC", IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/​SMC52423.2021.9659186, October 2021, pp. 3238-3244.
    BibTeX TR2021-126 PDF Video
    • @inproceedings{Chakrabarty2021oct,
    • author = {Chakrabarty, Ankush and Quirynen, Rien and Romeres, Diego and Di Cairano, Stefano},
    • title = {Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
    • year = 2021,
    • pages = {3238--3244},
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9659186},
    • url = {https://www.merl.com/publications/TR2021-126}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 9751-9761.
    BibTeX TR2021-096 PDF
    • @inproceedings{Chatterjee2021oct2,
    • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
    • title = {A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {9751--9761},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2021-096}
    • }
  •  Chatterjee, M., Le Roux, J., Ahuja, N., Cherian, A., "Visual Scene Graphs for Audio Source Separation", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 1204-1213.
    BibTeX TR2021-095 PDF Video Software
    • @inproceedings{Chatterjee2021oct,
    • author = {Chatterjee, Moitreya and Le Roux, Jonathan and Ahuja, Narendra and Cherian, Anoop},
    • title = {Visual Scene Graphs for Audio Source Separation},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {1204--1213},
    • month = oct,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2021-095}
    • }
  •  Comas, A., Marks, T.K., Mansour, H., Lohit, S., Ma, Y., Liu, X., "TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP42928.2021.9506663, September 2021, pp. 309-313.
    BibTeX TR2021-099 PDF
    • @inproceedings{Comas2021sep,
    • author = {Comas, Armand and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas and Ma, Yechi and Liu, Xiaoming},
    • title = {TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2021,
    • pages = {309--313},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP42928.2021.9506663},
    • url = {https://www.merl.com/publications/TR2021-099}
    • }
  •  Wang, Y., Aeron, S., Rakin, A.S., Koike-Akino, T., Moulin, P., "Robust Machine Learning via Privacy/Rate-Distortion Theory", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT45174.2021.9517751, July 2021.
    BibTeX TR2021-082 PDF Video Presentation
    • @inproceedings{Wang2021jul,
    • author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan S and Koike-Akino, Toshiaki and Moulin, Pierre},
    • title = {Robust Machine Learning via Privacy/Rate-Distortion Theory},
    • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
    • year = 2021,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT45174.2021.9517751},
    • isbn = {978-1-5386-8210-4},
    • url = {https://www.merl.com/publications/TR2021-082}
    • }
  •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning", IEEE Transactions on Industry Applications, DOI: 10.1109/​TIA.2021.3091958, June 2021.
    BibTeX TR2021-081 PDF
    • @article{Zhang2021jun,
    • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
    • title = {Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning},
    • journal = {IEEE Transactions on Industry Applications},
    • year = 2021,
    • month = jun,
    • doi = {10.1109/TIA.2021.3091958},
    • url = {https://www.merl.com/publications/TR2021-081}
    • }
  •  Fujihashi, T., Koike-Akino, T., Chen, S., Watanabe, T., "Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC42927.2021.9500925, June 2021.
    BibTeX TR2021-066 PDF Presentation
    • @inproceedings{Fujihashi2021jun,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Chen, Siheng and Watanabe, Takashi},
    • title = {Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2021,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/ICC42927.2021.9500925},
    • issn = {1938-1883},
    • isbn = {978-1-7281-7122-7},
    • url = {https://www.merl.com/publications/TR2021-066}
    • }
  •  Hyder, R., Mansour, H., Ma, Y., Boufounos, P.T., Wang, P., "A Consensus Equilibrium Solution for Deep Image Prior Powered by Red", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP39728.2021.9414290, June 2021, pp. 1380-1384.
    BibTeX TR2021-046 PDF
    • @inproceedings{Hyder2021jun,
    • author = {Hyder, Rakib and Mansour, Hassan and Ma, Yanting and Boufounos, Petros T. and Wang, Perry},
    • title = {A Consensus Equilibrium Solution for Deep Image Prior Powered by Red},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2021,
    • pages = {1380--1384},
    • month = jun,
    • doi = {10.1109/ICASSP39728.2021.9414290},
    • issn = {2379-190X},
    • isbn = {978-1-7281-7605-5},
    • url = {https://www.merl.com/publications/TR2021-046}
    • }
  •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Jha, D.K., Parsons, K., Qi, M., "Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2021.SW4E.1, May 2021.
    BibTeX TR2021-045 PDF Presentation
    • @inproceedings{Tang2021may3,
    • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and Parsons, Kieran and Qi, Minghao},
    • title = {Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2021,
    • month = may,
    • doi = {10.1364/CLEO_SI.2021.SW4E.1},
    • url = {https://www.merl.com/publications/TR2021-045}
    • }
  •  Ota, K., Jha, D.K., Romeres, D., van Baar, J., Smith, K., Semistsu, T., Oiki, T., Sullivan, A., Nikovski, D.N., Tenenbaum, J.B., "Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2021.3068887, Vol. 6, No. 2, March 2021.
    BibTeX TR2021-032 PDF Video Software
    • @article{Ota2021mar,
    • author = {Ota, Kei and Jha, Devesh K. and Romeres, Diego and van Baar, Jeroen and Smith, Kevin and Semistsu, Takayuki and Oiki, Tomoaki and Sullivan, Alan and Nikovski, Daniel N. and Tenenbaum, Joshua B.},
    • title = {Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation},
    • journal = {IEEE Robotics and Automation Letters},
    • year = 2021,
    • volume = 6,
    • number = 2,
    • month = mar,
    • doi = {10.1109/LRA.2021.3068887},
    • url = {https://www.merl.com/publications/TR2021-032}
    • }
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