Publications

193 / 3,739 publications found.


  •  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}
    • }
  •  Cherian, A., Chatterjee, M., Ahuja, N., "Sound2Sight: Generating Visual Dynamics from Sound and Context", European Conference on Computer Vision (ECCV), Vedaldi, A. and Bischof, H. and Brox, Th. and Frahm, J.-M., Eds., August 2020.
    BibTeX TR2020-121 PDF Software
    • @inproceedings{Cherian2020aug,
    • author = {Cherian, Anoop and Chatterjee, Moitreya and Ahuja, Narendra},
    • title = {Sound2Sight: Generating Visual Dynamics from Sound and Context},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2020,
    • editor = {Vedaldi, A. and Bischof, H. and Brox, Th. and Frahm, J.-M.},
    • month = aug,
    • publisher = {Springer},
    • url = {https://www.merl.com/publications/TR2020-121}
    • }
  •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Transfer Learning for Physiological Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), DOI: 10.1109/​EMBC44109.2020.9175233, July 2020.
    BibTeX TR2020-109 PDF Video Presentation
    • @inproceedings{Han2020jul,
    • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {Disentangled Adversarial Transfer Learning for Physiological Biosignals},
    • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
    • year = 2020,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC44109.2020.9175233},
    • issn = {1558-4615},
    • isbn = {978-1-7281-1990-8},
    • url = {https://www.merl.com/publications/TR2020-109}
    • }
  •  Tsiligkaridis, A., Zhang, J., Taguchi, H., Nikovski, D.N., "Personalized Destination Prediction Using Transformers in a Contextless Data Setting", IEEE World Congress on Computational Intelligence (WCCI), DOI: 10.1109/​IJCNN48605.2020.9207514, July 2020.
    BibTeX TR2020-112 PDF
    • @inproceedings{Tsiligkaridis2020jul,
    • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Taguchi, Hiroshi and Nikovski, Daniel N.},
    • title = {Personalized Destination Prediction Using Transformers in a Contextless Data Setting},
    • booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
    • year = 2020,
    • month = jul,
    • doi = {10.1109/IJCNN48605.2020.9207514},
    • url = {https://www.merl.com/publications/TR2020-112}
    • }
  •  Romeres, D., Liu, Y., Jha, D.K., Nikovski, D.N., "Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks", Robotics: Science and Systems, July 2020.
    BibTeX TR2020-110 PDF
    • @inproceedings{Romeres2020jul,
    • author = {Romeres, Diego and Liu, Yifang and Jha, Devesh K. and Nikovski, Daniel N.},
    • title = {Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks},
    • booktitle = {Robotics: Science and Systems},
    • year = 2020,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2020-110}
    • }
  •  Maske, H., Chu, T., Kalabic, U., "Control of traffic light timing using decentralized deep reinforcement learning", World Congress of the International Federation of Automatic Control (IFAC), Rolf Findeisen and Sandra Hirche and Klaus Janschek and Martin Mönnigmann, Eds., DOI: 10.1016/​j.ifacol.2020.12.1980, July 2020, pp. 14936-14941.
    BibTeX TR2020-101 PDF
    • @inproceedings{Maske2020jul,
    • author = {Maske, Harshal and Chu, Tianshu and Kalabic, Uros},
    • title = {Control of traffic light timing using decentralized deep reinforcement learning},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2020,
    • editor = {Rolf Findeisen and Sandra Hirche and Klaus Janschek and Martin Mönnigmann},
    • pages = {14936--14941},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2020.12.1980},
    • url = {https://www.merl.com/publications/TR2020-101}
    • }
  •  Ota, K., Oiki, T., Jha, D.K., Mariyama, T., Nikovski, D.N., "Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?", International Conference on Machine Learning (ICML), Daumé III , Hal and Singh, Aarti, Eds., June 2020, pp. 7424-7433.
    BibTeX TR2020-083 PDF Software
    • @inproceedings{Ota2020jun,
    • author = {Ota, Kei and Oiki, Tomoaki and Jha, Devesh K. and Mariyama, Toshisada and Nikovski, Daniel N.},
    • title = {Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2020,
    • editor = {Daumé III , Hal and Singh, Aarti},
    • pages = {7424--7433},
    • month = jun,
    • publisher = {PMLR},
    • url = {https://www.merl.com/publications/TR2020-083}
    • }