Publications

199 / 3,799 publications found.


  •  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 Video
    • @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, Pu},
    • 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}
    • }
  •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D.K., TaherSima, M., Parsons, K., "Application of Deep Learning for Nanophotonic Device Design", SPIE Photonics West, Bahram Jalali and Ken-ichi Kitayama, Eds., DOI: 10.1117/​12.2579104, March 2021.
    BibTeX TR2020-182 PDF Video
    • @inproceedings{Kojima2021mar,
    • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and TaherSima, Mohammad and Parsons, Kieran},
    • title = {{Application of Deep Learning for Nanophotonic Device Design}},
    • booktitle = {SPIE Photonics West},
    • year = 2021,
    • editor = {Bahram Jalali and Ken-ichi Kitayama},
    • month = mar,
    • publisher = {SPIE},
    • doi = {10.1117/12.2579104},
    • url = {https://www.merl.com/publications/TR2020-182}
    • }
  •  Ota, K., Jha, D.K., Kanezaki, A., "Training Larger Networks for Deep Reinforcement Learning", arXiv, February 2021.
    BibTeX arXiv
    • @inproceedings{Ota2021feb,
    • author = {Ota, Kei and Jha, Devesh K. and Kanezaki, Asako},
    • title = {{Training Larger Networks for Deep Reinforcement Learning}},
    • booktitle = {arXiv},
    • year = 2021,
    • month = feb,
    • url = {https://arxiv.org/abs/2102.07920}
    • }
  •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D.K., Tang, Y., Wang, Y., Parsons, K., "Deep Neural Networks for Inverse Design of Nanophotonic Devices", IEEE Journal of Lightwave Technology, DOI: 10.1109/​JLT.2021.3050083, January 2021.
    BibTeX TR2021-001 PDF
    • @article{Kojima2021jan,
    • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh K. and Tang, Yingheng and Wang, Ye and Parsons, Kieran},
    • title = {{Deep Neural Networks for Inverse Design of Nanophotonic Devices}},
    • journal = {IEEE Journal of Lightwave Technology},
    • year = 2021,
    • month = jan,
    • doi = {10.1109/JLT.2021.3050083},
    • issn = {1558-2213},
    • url = {https://www.merl.com/publications/TR2021-001}
    • }
  •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models", IEEE Sensors Journal, DOI: 10.1109/​JSEN.2020.3040696, Vol. 21, No. 5, pp. 6476-6486, January 2021.
    BibTeX TR2021-002 PDF
    • @article{Zhang2021jan,
    • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
    • title = {{Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models}},
    • journal = {IEEE Sensors Journal},
    • year = 2021,
    • volume = 21,
    • number = 5,
    • pages = {6476--6486},
    • month = jan,
    • doi = {10.1109/JSEN.2020.3040696},
    • url = {https://www.merl.com/publications/TR2021-002}
    • }
  •  Wang, P., Koike-Akino, T., Orlik, P., "Precise Indoor Localization Using Commercial-off-the-shelf (COTS) Wi-Fi Routers Powered by Deep Learning on New Channel Measurements in Millimeter-wave Bands," Mitsubishi Denki Giho, Vol. 95, January 2021.
    BibTeX Mitsubishi Electric Technical Report
    • @techreport{Wang2021jan,
    • author = {Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip},
    • title = {{Precise Indoor Localization Using Commercial-off-the-shelf (COTS) Wi-Fi Routers Powered by Deep Learning on New Channel Measurements in Millimeter-wave Bands}},
    • institution = {Mitsubishi Denki Giho},
    • year = 2021,
    • volume = 95,
    • number = 1,
    • month = jan,
    • url = {https://www.giho.mitsubishielectric.co.jp/giho/pdf/2021/2101101.pdf}
    • }
  •  Laftchiev, E., Yan, Q., Nikovski, D.N., "The Missing Input Problem", IEEE Big Data, DOI: 10.1109/​BigData50022.2020.9378144, December 2020, pp. 1565-1573.
    BibTeX TR2020-172 PDF
    • @inproceedings{Laftchiev2020dec,
    • author = {Laftchiev, Emil and Yan, Qing and Nikovski, Daniel N.},
    • title = {{The Missing Input Problem}},
    • booktitle = {IEEE Big Data},
    • year = 2020,
    • pages = {1565--1573},
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/BigData50022.2020.9378144},
    • url = {https://www.merl.com/publications/TR2020-172}
    • }
  •  Talreja, V., Koike-Akino, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC48923.2020.9333382, November 2020.
    BibTeX TR2020-155 PDF Video
    • @inproceedings{Talreja2020nov,
    • author = {Talreja, Veeru and Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
    • title = {{End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping}},
    • booktitle = {European Conference on Optical Communication (ECOC)},
    • year = 2020,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/ECOC48923.2020.9333382},
    • isbn = {978-1-7281-7361-0},
    • url = {https://www.merl.com/publications/TR2020-155}
    • }
  •  Sun, H., Shoichi, K., Nikovski, D.N., Mori, K., Hashimoto, H., "Illegitimate Trade Detection for Electricity Energy Markets", International Conference on Smart Grids and Energy Systems (SGES), DOI: 10.110910.1109/​SGES51519.2020.00066, November 2020.
    BibTeX TR2020-147 PDF
    • @inproceedings{Sun2020nov,
    • author = {Sun, Hongbo and Shoichi, Kitamura and Nikovski, Daniel N. and Mori, Kazuyuki and Hashimoto, Hiroyuki},
    • title = {{Illegitimate Trade Detection for Electricity Energy Markets}},
    • booktitle = {International Conference on Smart Grids and Energy Systems (SGES)},
    • year = 2020,
    • month = nov,
    • doi = {10.110910.1109/SGES51519.2020.00066},
    • url = {https://www.merl.com/publications/TR2020-147}
    • }
  •  Ota, K., Jha, D.K., Onishi, T., Kanezaki, A., Yoshiyasu, Y., Mariyama, T., Nikovski, D.N., "Deep Reactive Planning in Dynamic Environments", Conference on Robot Learning (CoRL), Kober, Jens and Ramos, Fabio and Tomlin, Calire, Eds., November 2020, pp. 1943-1957.
    BibTeX TR2020-144 PDF Video
    • @inproceedings{Ota2020nov2,
    • author = {Ota, Kei and Jha, Devesh K. and Onishi, Tadashi and Kanezaki, Asako and Yoshiyasu, Yusuke and Mariyama, Toshisada and Nikovski, Daniel N.},
    • title = {{Deep Reactive Planning in Dynamic Environments}},
    • booktitle = {Conference on Robot Learning (CoRL)},
    • year = 2020,
    • editor = {Kober, Jens and Ramos, Fabio and Tomlin, Calire},
    • pages = {1943--1957},
    • month = nov,
    • publisher = {Proceedings of Machine Learning Research},
    • url = {https://www.merl.com/publications/TR2020-144}
    • }
  •  Ota, K., Sasaki, Y., Jha, D., Yoshiyasu, Y., Kanezaki, A., "Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2020.
    BibTeX TR2020-141 PDF Software
    • @inproceedings{Ota2020nov,
    • author = {Ota, Kei and Sasaki, Yoko and Jha, Devesh and Yoshiyasu, Yusuke and Kanezaki, Asako},
    • title = {{Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path}},
    • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2020,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2020-141}
    • }
  •  Zhang, W., Seto, S., Jha, D.K., "CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2020.
    BibTeX TR2020-140 PDF Software
    • @inproceedings{Zhang2020nov,
    • author = {Zhang, Wenyu and Seto, Skyler and Jha, Devesh K.},
    • title = {{CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context}},
    • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2020,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2020-140}
    • }
  •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Wu, P., TaherSima, M., Jha, D.K., Parsons, K., Qi, M., "Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices", Lasers and Photonics Reviews, DOI: 10.1002/​lpor.202000287, Vol. 2020, pp. 2000287, October 2020.
    BibTeX TR2020-135 PDF
    • @article{Tang2020oct,
    • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Wu, Pengxiang and TaherSima, Mohammad and Jha, Devesh K. and Parsons, Kieran and Qi, Minghao},
    • title = {{Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices}},
    • journal = {Lasers and Photonics Reviews},
    • year = 2020,
    • volume = 2020,
    • pages = 2000287,
    • month = oct,
    • doi = {10.1002/lpor.202000287},
    • url = {https://www.merl.com/publications/TR2020-135}
    • }
  •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D.K., Parsons, K., TaherSima, M., Sang, F., Klamkin, J., Qi, M., "Inverse Design of Nanophotonic Devices using Deep Neural Networks", Asia Communications and Photonics Conference (ACP), September 2020, pp. Su1A.1.
    BibTeX TR2020-130 PDF Video
    • @inproceedings{Kojima2020sep,
    • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and Parsons, Kieran and TaherSima, Mohammad and Sang, Fengqiao and Klamkin, Jonathan and Qi, Minghao},
    • title = {{Inverse Design of Nanophotonic Devices using Deep Neural Networks}},
    • booktitle = {Asia Communications and Photonics Conference (ACP)},
    • year = 2020,
    • pages = {Su1A.1},
    • month = sep,
    • publisher = {Optical Society of America},
    • isbn = {978-1-943580-82-8},
    • url = {https://www.merl.com/publications/TR2020-130}
    • }
  •  Ioannidis, V.N., Chen, S., Giannakis, G.B., "Efficient and Stable Graph Scattering Transforms via Pruning", IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/​TPAMI.2020.3025258, September 2020.
    BibTeX TR2021-018 PDF
    • @article{Ioannidis2021mar,
    • author = {Ioannidis, Vassilis N. and Chen, Siheng and Giannakis, Georgios B.},
    • title = {{Efficient and Stable Graph Scattering Transforms via Pruning}},
    • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    • year = 2020,
    • month = sep,
    • doi = {10.1109/TPAMI.2020.3025258},
    • url = {https://www.merl.com/publications/TR2021-018}
    • }
  •  Pishdadian, F., Wichern, G., Le Roux, J., "Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2020.3013105, Vol. 28, pp. 2386-2399, September 2020.
    BibTeX TR2020-126 PDF
    • @article{Pishdadian2020sep,
    • author = {Pishdadian, Fatemeh and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision}},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2020,
    • volume = 28,
    • pages = {2386--2399},
    • month = sep,
    • doi = {10.1109/TASLP.2020.3013105},
    • url = {https://www.merl.com/publications/TR2020-126}
    • }