Publications

179 / 3,807 publications found.


  •  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}
    • }
  •  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}
    • }
  •  Seetharaman, P., Wichern, G., Le Roux, J., Pardo, B., "Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles", ICML 2020 Workshop on Self-supervision in Audio and Speech, July 2020.
    BibTeX TR2020-111 PDF
    • @inproceedings{Seetharaman2020jul,
    • author = {Seetharaman, Prem and Wichern, Gordon and {Le Roux}, Jonathan and Pardo, Bryan},
    • title = {{Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles}},
    • booktitle = {ICML 2020 Workshop on Self-supervision in Audio and Speech},
    • year = 2020,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2020-111}
    • }
  •  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}
    • }
  •  Wang, Y., Koike-Akino, T., "Learning to Modulate for Non-coherent MIMO", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC40277.2020.9149438, June 2020.
    BibTeX TR2020-071 PDF Video Presentation
    • @inproceedings{Wang2020jun,
    • author = {Wang, Ye and Koike-Akino, Toshiaki},
    • title = {{Learning to Modulate for Non-coherent MIMO}},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2020,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/ICC40277.2020.9149438},
    • issn = {1938-1883},
    • isbn = {978-1-7281-5089-5},
    • url = {https://www.merl.com/publications/TR2020-071}
    • }
  •  Kumar, A., Marks, T.K., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR42600.2020.00826, June 2020.
    BibTeX TR2020-067 PDF Video Data Software
    • @inproceedings{Kumar2020jun,
    • author = {Kumar, Abhinav and Marks, Tim K. and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
    • title = {{LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2020,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/CVPR42600.2020.00826},
    • issn = {2575-7075},
    • isbn = {978-1-7281-7168-5},
    • url = {https://www.merl.com/publications/TR2020-067}
    • }
  •  Wu, P., Chen, S., "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR42600.2020.01140, June 2020, pp. 11382-11392.
    BibTeX TR2020-068 PDF Data Software
    • @inproceedings{Wu2020jun,
    • author = {Wu, Pengxiang and Chen, Siheng},
    • title = {{MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2020,
    • pages = {11382--11392},
    • month = jun,
    • doi = {10.1109/CVPR42600.2020.01140},
    • url = {https://www.merl.com/publications/TR2020-068}
    • }
  •  Fujihashi, T., Koike-Akino, T., Chen, S., Watanabe, T., "Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks", arXiv, June 2020.
    BibTeX arXiv
    • @article{Fujihashi2020jun,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Chen, Siheng and Watanabe, Takashi},
    • title = {{Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks}},
    • journal = {arXiv},
    • year = 2020,
    • month = jun,
    • url = {https://arxiv.org/abs/2006.09835}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "High-Quality Soft Image Delivery with Deep Image Denoising", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC40277.2020.9148611, May 2020.
    BibTeX TR2020-060 PDF Video
    • @inproceedings{Fujihashi2020may,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
    • title = {{High-Quality Soft Image Delivery with Deep Image Denoising}},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2020,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICC40277.2020.9148611},
    • issn = {1938-1883},
    • isbn = {978-1-7281-5089-5},
    • url = {https://www.merl.com/publications/TR2020-060}
    • }
  •  Ioannidis, V., Chen, S., Giannakis, G., "Pruned Graph Scattering Transforms", International Conference on Learning Representations (ICLR), April 2020.
    BibTeX TR2020-055 PDF
    • @inproceedings{Ioannidis2020apr,
    • author = {Ioannidis, Vassilis and Chen, Siheng and Giannakis, Georgios},
    • title = {{Pruned Graph Scattering Transforms}},
    • booktitle = {International Conference on Learning Representations (ICLR)},
    • year = 2020,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2020-055}
    • }
  •  Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Learning Invariant Representations from EEG via Adversarial Inference", IEEE Access, DOI: 10.1109/​ACCESS.2020.2971600, Vol. 8, pp. 27074-27085, April 2020.
    BibTeX TR2020-049 PDF
    • @article{Ozdenizci2020apr,
    • author = {Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {{Learning Invariant Representations from EEG via Adversarial Inference}},
    • journal = {IEEE Access},
    • year = 2020,
    • volume = 8,
    • pages = {27074--27085},
    • month = apr,
    • doi = {10.1109/ACCESS.2020.2971600},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2020-049}
    • }
  •  Pishdadian, F., Wichern, G., Le Roux, J., "Learning to Separate Sounds From Weakly Labeled Scenes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP40776.2020.9053055, April 2020, pp. 91-95.
    BibTeX TR2020-038 PDF Video Presentation
    • @inproceedings{Pishdadian2020apr,
    • author = {Pishdadian, Fatemeh and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Learning to Separate Sounds From Weakly Labeled Scenes}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2020,
    • pages = {91--95},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP40776.2020.9053055},
    • issn = {2379-190X},
    • isbn = {978-1-5090-6631-5},
    • url = {https://www.merl.com/publications/TR2020-038}
    • }
  •  Zhang, S., Zhang, S., Wang, B., Habetler, T., "Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review", IEEE Access, DOI: 10.1109/​ACCESS.2020.2972859, Vol. 8, pp. 29857-29881, March 2020.
    BibTeX TR2020-034 PDF
    • @article{Zhang2020mar,
    • author = {Zhang, Shen and Zhang, Shibo and Wang, Bingnan and Habetler, Thomas},
    • title = {{Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review}},
    • journal = {IEEE Access},
    • year = 2020,
    • volume = 8,
    • pages = {29857--29881},
    • month = mar,
    • doi = {10.1109/ACCESS.2020.2972859},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2020-034}
    • }
  •  Koike-Akino, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation", Journal of Lightwave Technology, DOI: 10.1109/​JLT.2020.2976479, March 2020.
    BibTeX TR2020-033 PDF
    • @article{Koike-Akino2020mar3,
    • author = {Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
    • title = {{Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation}},
    • journal = {Journal of Lightwave Technology},
    • year = 2020,
    • month = mar,
    • doi = {10.1109/JLT.2020.2976479},
    • url = {https://www.merl.com/publications/TR2020-033}
    • }
  •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D.K., Tang, Y., Parsons, K., Sang, F., Klamkin, J., "Deep Neural Networks for Designing Integrated Photonics", Optical Fiber Communication Conference and Exposition (OFC), DOI: 10.1364/​OFC.2020.Th1A.6, March 2020.
    BibTeX TR2020-057 PDF
    • @inproceedings{Kojima2020mar,
    • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh K. and Tang, Yingheng and Parsons, Kieran and Sang, Fengqiao and Klamkin, Jonathan},
    • title = {{Deep Neural Networks for Designing Integrated Photonics}},
    • booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
    • year = 2020,
    • month = mar,
    • publisher = {OSA},
    • doi = {10.1364/OFC.2020.Th1A.6},
    • isbn = {978-1-943580-71-2},
    • url = {https://www.merl.com/publications/TR2020-057}
    • }
  •  He, W., Lee, T.-Y., van Baar, J., Wittenburg, K.B., Shen, H.-W., "DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies", IEEE Pacific Visualization Symposium (PacificVis), DOI: 10.1109/​PacificVis48177.2020.7127, January 2020, pp. 36-45.
    BibTeX TR2020-011 PDF
    • @inproceedings{He2020jan,
    • author = {He, Wenbin and Lee, Teng-Yok and {van Baar}, Jeroen and Wittenburg, Kent B. and Shen, Han-Wei},
    • title = {{DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies}},
    • booktitle = {IEEE Pacific Visualization Symposium (PacificVis)},
    • year = 2020,
    • pages = {36--45},
    • month = jan,
    • doi = {10.1109/PacificVis48177.2020.7127},
    • url = {https://www.merl.com/publications/TR2020-011}
    • }
  •  Chen, S., Duan, C., Yang, Y., Feng, C., Li, D., Tian, D., "Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering", IEEE Transactions on Image Processing, DOI: 10.1109/​TIP.2019.2957935, pp. 3183-3198, January 2020.
    BibTeX TR2020-004 PDF Data Software
    • @article{Chen2020jan,
    • author = {Chen, Siheng and Duan, Chaojing and Yang, Yaoqing and Feng, Chen and Li, Duanshun and Tian, Dong},
    • title = {{Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering}},
    • journal = {IEEE Transactions on Image Processing},
    • year = 2020,
    • pages = {3183--3198},
    • month = jan,
    • doi = {10.1109/TIP.2019.2957935},
    • url = {https://www.merl.com/publications/TR2020-004}
    • }
  •  Xu, H., Sun, H., Nikovski, D.N., Kitamura, S., Mori, K., Hashimoto, H., "Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity", IEEE Transactions on smart grids, DOI: 10.1109/​TSG.2019.2903756, Vol. 10, No. 6, pp. 6366-6375, January 2020.
    BibTeX TR2020-003 PDF
    • @article{Xu2020jan,
    • author = {Xu, Hanchen and Sun, Hongbo and Nikovski, Daniel N. and Kitamura, Shoichi and Mori, Kazuyuki and Hashimoto, Hiroyuki},
    • title = {{Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity}},
    • journal = {IEEE Transactions on smart grids},
    • year = 2020,
    • volume = 10,
    • number = 6,
    • pages = {6366--6375},
    • month = jan,
    • doi = {10.1109/TSG.2019.2903756},
    • issn = {1949-3061},
    • url = {https://www.merl.com/publications/TR2020-003}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9013967, December 2019.
    BibTeX TR2019-132 PDF
    • @inproceedings{Fujihashi2019dec,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
    • title = {{DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications}},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GLOBECOM38437.2019.9013967},
    • issn = {2576-6813},
    • isbn = {978-1-7281-0962-6},
    • url = {https://www.merl.com/publications/TR2019-132}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Overhead Reduction for High-Quality Soft Delivery", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9014124, December 2019.
    BibTeX TR2019-133 PDF
    • @inproceedings{Fujihashi2019dec2,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
    • title = {{DNN-based Overhead Reduction for High-Quality Soft Delivery}},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GLOBECOM38437.2019.9014124},
    • issn = {2576-6813},
    • isbn = {978-1-7281-0962-6},
    • url = {https://www.merl.com/publications/TR2019-133}
    • }
  •  Liu, B., Wei, Z., Yuan, J., Pajovic, M., "Deep Learning Assisted User Identification in Massive Machine-Type Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9014177, December 2019, pp. 1-6.
    BibTeX TR2019-134 PDF
    • @inproceedings{Liu2019dec,
    • author = {Liu, Bryan and Wei, Zhiqiang and Yuan, Jinhong and Pajovic, Milutin},
    • title = {{Deep Learning Assisted User Identification in Massive Machine-Type Communications}},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • pages = {1--6},
    • month = dec,
    • doi = {10.1109/GLOBECOM38437.2019.9014177},
    • url = {https://www.merl.com/publications/TR2019-134}
    • }