Publications

587 / 3,738 publications found.


  •  Moritz, N., Wichern, G., Hori, T., Le Roux, J., "All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection", Interspeech, DOI: 10.21437/​Interspeech.2020-2757, October 2020, pp. 3112-3116.
    BibTeX TR2020-138 PDF Presentation
    • @inproceedings{Moritz2020oct,
    • author = {Moritz, Niko and Wichern, Gordon and Hori, Takaaki and Le Roux, Jonathan},
    • title = {All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection},
    • booktitle = {Interspeech},
    • year = 2020,
    • pages = {3112--3116},
    • month = oct,
    • doi = {10.21437/Interspeech.2020-2757},
    • issn = {1990-9772},
    • url = {https://www.merl.com/publications/TR2020-138}
    • }
  •  Manilow, E., Wichern, G., Le Roux, J., "Hierarchical Musical Instrument Separation", International Society for Music Information Retrieval (ISMIR) Conference, October 2020, pp. 376-383.
    BibTeX TR2020-136 PDF Software
    • @inproceedings{Manilow2020oct,
    • author = {Manilow, Ethan and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Hierarchical Musical Instrument Separation},
    • booktitle = {International Society for Music Information Retrieval (ISMIR) Conference},
    • year = 2020,
    • pages = {376--383},
    • month = oct,
    • isbn = {978-0-9813537-0-8},
    • url = {https://www.merl.com/publications/TR2020-136}
    • }
  •  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}
    • }
  •  Seetharaman, P., Wichern, G., Pardo, B., Le Roux, J., "Autoclip: Adaptive Gradient Clipping For Source Separation Networks", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), DOI: 10.1109/​MLSP49062.2020.9231926, September 2020.
    BibTeX TR2020-132 PDF
    • @inproceedings{Seetharaman2020sep,
    • author = {Seetharaman, Prem and Wichern, Gordon and Pardo, Bryan and Le Roux, Jonathan},
    • title = {Autoclip: Adaptive Gradient Clipping For Source Separation Networks},
    • booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
    • year = 2020,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/MLSP49062.2020.9231926},
    • url = {https://www.merl.com/publications/TR2020-132}
    • }
  •  Xia, Y., Wang, P., Berntorp, K., Boufounos, P.T., Orlik, P.V., Svensson, L., Granstrom, K., "Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model", IEEE Radar Conference (RadarCon), DOI: 10.1109/​RadarConf2043947.2020.9266598, September 2020, pp. 1-6.
    BibTeX TR2020-131 PDF
    • @inproceedings{Xia2020sep,
    • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Boufounos, Petros T. and Orlik, Philip V. and Svensson, Lennart and Granstrom, Karl},
    • title = {Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model},
    • booktitle = {IEEE Radar Conference (RadarCon)},
    • year = 2020,
    • pages = {1--6},
    • month = sep,
    • doi = {10.1109/RadarConf2043947.2020.9266598},
    • issn = {2375-5318},
    • isbn = {978-1-7281-8943-7},
    • url = {https://www.merl.com/publications/TR2020-131}
    • }
  •  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}
    • }
  •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2020.3020215, Vol. 27, pp. 1565-1569, September 2020.
    BibTeX TR2020-128 PDF
    • @article{Han2020sep,
    • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction},
    • journal = {IEEE Signal Processing Letters},
    • year = 2020,
    • volume = 27,
    • pages = {1565--1569},
    • month = sep,
    • doi = {10.1109/LSP.2020.3020215},
    • issn = {1558-2361},
    • url = {https://www.merl.com/publications/TR2020-128}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Danielson, C., Wang, Y., "Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems", IEEE Conference on Control Technology and Applications, DOI: 10.1109/​CCTA41146.2020.9206315, August 2020, pp. 352-357.
    BibTeX TR2020-116 PDF
    • @inproceedings{Chakrabarty2020aug,
    • author = {Chakrabarty, Ankush and Danielson, Claus and Wang, Yebin},
    • title = {Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems},
    • booktitle = {IEEE Conference on Control Technology and Applications},
    • year = 2020,
    • pages = {352--357},
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/CCTA41146.2020.9206315},
    • url = {https://www.merl.com/publications/TR2020-116}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Jha, D.K., Buzzard, G.T., Wang, Y., Vamvoudakis, K., "Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation", IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/​TNNLS.2020.2978805, July 2020.
    BibTeX TR2020-108 PDF
    • @article{Chakrabarty2020jul2,
    • author = {Chakrabarty, Ankush and Jha, Devesh K. and Buzzard, Gregery T. and Wang, Yebin and Vamvoudakis, Kyriakos},
    • title = {Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation},
    • journal = {IEEE Transactions on Neural Networks and Learning Systems},
    • year = 2020,
    • month = jul,
    • doi = {10.1109/TNNLS.2020.2978805},
    • url = {https://www.merl.com/publications/TR2020-108}
    • }
  •  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}
    • }
  •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning", Transactions on Intelligent Vehicles, DOI: 10.1109/​TIV.2020.3000323, July 2020.
    BibTeX TR2020-106 PDF
    • @article{Menner2020jul,
    • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning},
    • journal = {Transactions on Intelligent Vehicles},
    • year = 2020,
    • month = jul,
    • doi = {10.1109/TIV.2020.3000323},
    • url = {https://www.merl.com/publications/TR2020-106}
    • }
  •  Berntorp, K., "Online Bayesian Tire-Friction Learning by Gaussian-Process State-Space Models", 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.2020.12.910, July 2020, pp. 13939-13944.
    BibTeX TR2020-104 PDF
    • @inproceedings{Berntorp2020jul,
    • author = {Berntorp, Karl},
    • title = {Online Bayesian Tire-Friction Learning by Gaussian-Process State-Space Models},
    • 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 = {13939--13944},
    • month = jul,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2020.12.910},
    • url = {https://www.merl.com/publications/TR2020-104}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Berntorp, K., Di Cairano, S., "Learning-based Parameter-Adaptive Reference Governors", American Control Conference (ACC), DOI: 10.23919/​ACC45564.2020.9147615, July 2020, pp. 956-961.
    BibTeX TR2020-092 PDF
    • @inproceedings{Chakrabarty2020jul,
    • author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Learning-based Parameter-Adaptive Reference Governors},
    • booktitle = {American Control Conference (ACC)},
    • year = 2020,
    • pages = {956--961},
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.23919/ACC45564.2020.9147615},
    • url = {https://www.merl.com/publications/TR2020-092}
    • }
  •  Greiff, M., Berntorp, K., "Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning", American Control Conference (ACC), DOI: 10.23919/​ACC45564.2020.9147675, July 2020, pp. 4435-4441.
    BibTeX TR2020-097 PDF
    • @inproceedings{Greiff2020jul,
    • author = {Greiff, Marcus and Berntorp, Karl},
    • title = {Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning},
    • booktitle = {American Control Conference (ACC)},
    • year = 2020,
    • pages = {4435--4441},
    • month = jul,
    • doi = {10.23919/ACC45564.2020.9147675},
    • url = {https://www.merl.com/publications/TR2020-097}
    • }
  •  Cherian, A., Aeron, S., "Representation Learning via Adversarially-Contrastive Optimal Transport", International Conference on Machine Learning (ICML), Daumé, H. and Singh, A., Eds., July 2020, pp. 10675-10685.
    BibTeX TR2020-093 PDF Software
    • @inproceedings{Cherian2020jul,
    • author = {Cherian, Anoop and Aeron, Shuchin},
    • title = {Representation Learning via Adversarially-Contrastive Optimal Transport},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2020,
    • editor = {Daumé, H. and Singh, A.},
    • pages = {10675--10685},
    • month = jul,
    • url = {https://www.merl.com/publications/TR2020-093}
    • }
  •  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}
    • }
  •  Lee, G., Guo, J., Kim, K.J., Orlik, P.V., Ahn, H., Di Cairano, S., Saad, W., "Edge Computing for Interconnected Intersections in Internet of Vehicles", IEEE Intelligent Vehicles Symposium, June 2020, pp. 209-215.
    BibTeX TR2020-081 PDF
    • @inproceedings{Lee2020jun,
    • author = {Lee, Gilsoo and Guo, Jianlin and Kim, Kyeong Jin and Orlik, Philip V. and Ahn, Heejin and Di Cairano, Stefano and Saad, Walid},
    • title = {Edge Computing for Interconnected Intersections in Internet of Vehicles},
    • booktitle = {IEEE Intelligent Vehicles Symposium},
    • year = 2020,
    • pages = {209--215},
    • month = jun,
    • isbn = {978-1-7281-6672-8},
    • url = {https://www.merl.com/publications/TR2020-081}
    • }
  •  Hu, Y., Chen, S., Zhang, Y., Gu, X., "Collaborative Motion Prediction via Neural Motion Message Passing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR42600.2020.00635, June 2020, pp. 6318-6327.
    BibTeX TR2020-072 PDF
    • @inproceedings{Hu2020jun,
    • author = {Hu, Yue and Chen, Siheng and Zhang, Ya and Gu, Xiao},
    • title = {Collaborative Motion Prediction via Neural Motion Message Passing},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2020,
    • pages = {6318--6327},
    • month = jun,
    • doi = {10.1109/CVPR42600.2020.00635},
    • url = {https://www.merl.com/publications/TR2020-072}
    • }
  •  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}
    • }