Publications

654 / 3,863 publications found.


  •  Sullivan, A., Wang, J., Li, X., Chen, S., Abbot, L., "PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences", CVPR Workshop on Autonomous Driving, June 2022.
    BibTeX TR2022-083 PDF
    • @inproceedings{Sullivan2022jun,
    • author = {Sullivan, Alan and Wang, Jun and Li, Xiaolong and Chen, Siheng and Abbot, Lynn},
    • title = {{PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences}},
    • booktitle = {CVPR Workshop on Autonomous Driving},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-083}
    • }
  •  Koike-Akino, T., Wang, P., Wang, Y., "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/​SAM53842.2022.9827846, June 2022.
    BibTeX TR2022-068 PDF Video Presentation
    • @inproceedings{Koike-Akino2022jun,
    • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
    • title = {{AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications}},
    • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
    • year = 2022,
    • month = jun,
    • doi = {10.1109/SAM53842.2022.9827846},
    • url = {https://www.merl.com/publications/TR2022-068}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 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 = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    • 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}
    • }
  •  Berntorp, K., Menner, M., "Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867635, June 2022, pp. 940-945.
    BibTeX TR2022-066 PDF
    • @inproceedings{Berntorp2022jun,
    • author = {Berntorp, Karl and Menner, Marcel},
    • title = {{Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {940--945},
    • month = jun,
    • doi = {10.23919/ACC53348.2022.9867635},
    • url = {https://www.merl.com/publications/TR2022-066}
    • }
  •  Xu, W., Jones, C., Svetozarevic, B., Laughman, C.R., Chakrabarty, A., "VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints", American Control Conference (ACC), June 2022, pp. 5288-5293.
    BibTeX TR2022-064 PDF
    • @inproceedings{Xu2022jun,
    • author = {Xu, Wenjie and Jones, Colin and Svetozarevic, Bratislav and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {5288--5293},
    • month = jun,
    • isbn = {978-1-6654-5197-0},
    • url = {https://www.merl.com/publications/TR2022-064}
    • }
  •  Pervej, M.F., Guo, J., Kim, K.J., Parsons, K., Orlik, P.V., Di Cairano, S., Menner, M., Berntorp, K., Nagai, Y., Dai, H., "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles", IEEE Intelligent Vehicles Symposium (IV), June 2022.
    BibTeX TR2022-079 PDF
    • @inproceedings{Pervej2022jun,
    • author = {Pervej, Md Ferdous and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and {Di Cairano}, Stefano and Menner, Marcel and Berntorp, Karl and Nagai, Yukimasa and Dai, Huaiyu},
    • title = {{Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles}},
    • booktitle = {IEEE Intelligent Vehicles Symposium (IV)},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-079}
    • }
  •  Mamakoukas, G., Di Cairano, S., Vinod, A.P., "Robust Model Predictive Control with Data-Driven Koopman Operators", American Control Conference (ACC), June 2022, pp. 3885-3892.
    BibTeX TR2022-054 PDF Video
    • @inproceedings{Mamakoukas2022jun,
    • author = {Mamakoukas, Giorgos and {Di Cairano}, Stefano and Vinod, Abraham P.},
    • title = {{Robust Model Predictive Control with Data-Driven Koopman Operators}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {3885--3892},
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-054}
    • }
  •  Zhu, X., Jain, S., Tomizuka, M., van Baar, J., "Synthesizing and Simulating Volumetric Meshes from Vision-based Tactile Imprints", ICRA 2022 Workshop on Reinforcement Learning for Contact-Rich Manipulation, May 2022.
    BibTeX TR2022-058 PDF
    • @inproceedings{Zhu2022may3,
    • author = {Zhu, Xinghao and Jain, Siddarth and Tomizuka, Masayoshi and {van Baar}, Jeroen},
    • title = {{Synthesizing and Simulating Volumetric Meshes from Vision-based Tactile Imprints}},
    • booktitle = {ICRA 2022 Workshop on Reinforcement Learning for Contact-Rich Manipulation},
    • year = 2022,
    • month = may,
    • url = {https://www.merl.com/publications/TR2022-058}
    • }
  •  Vinod, A.P., Safaoui, S., Chakrabarty, A., Quirynen, R., Yoshikawa, N., Di Cairano, S., "Safe multi-agent motion planning via filtered reinforcement learning", IEEE International Conference on Robotics and Automation (ICRA), DOI: 10.1109/​ICRA46639.2022.9812259, May 2022, pp. 7270-7276.
    BibTeX TR2022-053 PDF Video
    • @inproceedings{Vinod2022may,
    • author = {Vinod, Abraham P. and Safaoui, Sleiman and Chakrabarty, Ankush and Quirynen, Rien and Yoshikawa, Nobuyuki and {Di Cairano}, Stefano},
    • title = {{Safe multi-agent motion planning via filtered reinforcement learning}},
    • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
    • year = 2022,
    • pages = {7270--7276},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICRA46639.2022.9812259},
    • isbn = {978-1-7281-9681-7},
    • url = {https://www.merl.com/publications/TR2022-053}
    • }
  •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9838445, May 2022.
    BibTeX TR2022-052 PDF Video Presentation
    • @inproceedings{Liu2022may3,
    • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
    • title = {{Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems}},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2022,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICC45855.2022.9838445},
    • issn = {1938-1883},
    • isbn = {978-1-5386-8347-7},
    • url = {https://www.merl.com/publications/TR2022-052}
    • }
  •  Koike-Akino, T., Wang, P., 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 Wang, Pu 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}
    • }
  •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2022.SW5E.6, May 2022.
    BibTeX TR2022-047 PDF Video Presentation
    • @inproceedings{Jung2022may,
    • author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew},
    • title = {{Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices}},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_SI.2022.SW5E.6},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-047}
    • }
  •  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}
    • }
  •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems", International Conference on Learning Representations (ICLR) Workshop, April 2022.
    BibTeX TR2022-042 PDF
    • @inproceedings{Mowlavi2022apr,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
    • title = {{Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems}},
    • booktitle = {International Conference on Learning Representations (ICLR) Workshop},
    • year = 2022,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-042}
    • }
  •  Chang, X., Moritz, N., Hori, T., Watanabe, S., Le Roux, J., "Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9747375, April 2022, pp. 7322-7326.
    BibTeX TR2022-021 PDF
    • @inproceedings{Chang2022apr,
    • author = {Chang, Xuankai and Moritz, Niko and Hori, Takaaki and Watanabe, Shinji and {Le Roux}, Jonathan},
    • title = {{Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {7322--7326},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9747375},
    • url = {https://www.merl.com/publications/TR2022-021}
    • }
  •  Higuchi, Y., Moritz, N., Le Roux, J., Hori, T., "Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746275, April 2022, pp. 7672-7676.
    BibTeX TR2022-026 PDF
    • @inproceedings{Higuchi2022apr,
    • author = {Higuchi, Yosuke and Moritz, Niko and {Le Roux}, Jonathan and Hori, Takaaki},
    • title = {{Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {7672--7676},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9746275},
    • url = {https://www.merl.com/publications/TR2022-026}
    • }
  •  Moritz, N., Hori, T., Watanabe, S., Le Roux, J., "Sequence Transduction with Graph-based Supervision", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9747788, April 2022, pp. 7212-7216.
    BibTeX TR2022-024 PDF
    • @inproceedings{Moritz2022apr,
    • author = {Moritz, Niko and Hori, Takaaki and Watanabe, Shinji and {Le Roux}, Jonathan},
    • title = {{Sequence Transduction with Graph-based Supervision}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {7212--7216},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9747788},
    • url = {https://www.merl.com/publications/TR2022-024}
    • }
  •  Peng, K.-C., "Iterative Self Knowledge Distillation -- From Pothole Classification To Fine-Grained And COVID Recognition", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Gan, W.-S. and Ma, K. K., Eds., DOI: 10.1109/​ICASSP43922.2022.9746470, April 2022, pp. 3139-3143.
    BibTeX TR2022-020 PDF Video Presentation
    • @inproceedings{Peng2022apr,
    • author = {Peng, Kuan-Chuan},
    • title = {{Iterative Self Knowledge Distillation --- From Pothole Classification To Fine-Grained And COVID Recognition}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • editor = {Gan, W.-S. and Ma, K. K.},
    • pages = {3139--3143},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9746470},
    • issn = {1520-6149},
    • isbn = {978-1-6654-0541-6},
    • url = {https://www.merl.com/publications/TR2022-020}
    • }
  •  Petermann, D., Wichern, G., Wang, Z.-Q., Le Roux, J., "The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746005, April 2022, pp. 526-530.
    BibTeX TR2022-022 PDF Video Software
    • @inproceedings{Petermann2022apr,
    • author = {Petermann, Darius and Wichern, Gordon and Wang, Zhong-Qiu and {Le Roux}, Jonathan},
    • title = {{The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {526--530},
    • month = apr,
    • doi = {10.1109/ICASSP43922.2022.9746005},
    • url = {https://www.merl.com/publications/TR2022-022}
    • }
  •  Slizovskaia, O., Wichern, G., Wang, Z.-Q., Le Roux, J., "Locate This, Not That: Class-Conditioned Sound Event DOA Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9747604, April 2022, pp. 711-715.
    BibTeX TR2022-023 PDF
    • @inproceedings{Slizovskaia2022mar,
    • author = {Slizovskaia, Olga and Wichern, Gordon and Wang, Zhong-Qiu and {Le Roux}, Jonathan},
    • title = {{Locate This, Not That: Class-Conditioned Sound Event DOA Estimation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {711--715},
    • month = apr,
    • doi = {10.1109/ICASSP43922.2022.9747604},
    • url = {https://www.merl.com/publications/TR2022-023}
    • }
  •  Yu, J., Wang, P., Koike-Akino, T., Orlik, P.V., "Multi-Modal Recurrent Fusion for Indoor Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746071, April 2022.
    BibTeX TR2022-018 PDF
    • @inproceedings{Yu2022apr,
    • author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip V.},
    • title = {{Multi-Modal Recurrent Fusion for Indoor Localization}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9746071},
    • issn = {2379-190X},
    • isbn = {978-1-6654-0540-9},
    • url = {https://www.merl.com/publications/TR2022-018}
    • }
  •  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}
    • }
  •  Sanz-Alcaine, J.M., Sanz-Gorrachategui, I., Pajovic, M., Orlik, P.V., "Online Voltage Prediction Using Gaussian Process Regression for Fault-Tolerant Photovoltaic Standalone Applications", Neural Computing and Applications, DOI: 10.1007/​s00521-021-06254-6, Vol. 33, No. 23, pp. 16577–16590, March 2022.
    BibTeX TR2022-038 PDF
    • @article{Sanz-Alcaine2022mar,
    • author = {Sanz-Alcaine, José Miguel and Sanz-Gorrachategui, Ivan and Pajovic, Milutin and Orlik, Philip V.},
    • title = {{Online Voltage Prediction Using Gaussian Process Regression for Fault-Tolerant Photovoltaic Standalone Applications}},
    • journal = {Neural Computing and Applications},
    • year = 2022,
    • volume = 33,
    • number = 23,
    • pages = {16577–16590},
    • month = mar,
    • doi = {10.1007/s00521-021-06254-6},
    • url = {https://www.merl.com/publications/TR2022-038}
    • }