Publications

401 / 3,283 publications found.


  •  Berntorp, K., Menner, M., "Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models", American Control Conference (ACC), June 2022.
    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,
    • month = jun,
    • 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}
    • }
  •  Mamakoukas, G., Di Cairano, S., Vinod, A.P., "Robust Model Predictive Control with Data-Driven Koopman Operators", American Control Conference (ACC), June 2022.
    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,
    • 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", IEEE 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 = {IEEE 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), May 2022.
    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,
    • month = may,
    • 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), 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,
    • url = {https://www.merl.com/publications/TR2022-052}
    • }
  •  Koike-Akino, T., Pu, W., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), May 2022.
    BibTeX TR2022-044 PDF Video Presentation
    • @inproceedings{Koike-Akino2022may2,
    • author = {Koike-Akino, Toshiaki and Pu, Wang and Wang, Ye},
    • title = {Quantum Transfer Learning for Wi-Fi Sensing},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2022,
    • month = may,
    • url = {https://www.merl.com/publications/TR2022-044}
    • }
  •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M.E., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), 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 E.},
    • 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,
    • 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), 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,
    • 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), April 2022.
    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,
    • month = apr,
    • 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), April 2022.
    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,
    • month = apr,
    • 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), April 2022.
    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,
    • month = apr,
    • 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), April 2022.
    BibTeX TR2022-022 PDF
    • @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,
    • month = apr,
    • 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), April 2022.
    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,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-023}
    • }
  •  Yu, J., Pu, W., 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 Pu, Wang 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, 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,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-038}
    • }
  •  Anantharaman, R., Abdelrahim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C.R., Ma, Y., Shah, V., Edelman, A., Rackauckas, C., "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
    BibTeX TR2022-034 PDF
    • @inproceedings{Anantharaman2022mar,
    • author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
    • booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
    • year = 2022,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-034}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
    BibTeX TR2022-030 PDF
    • @article{Chakrabarty2022mar2,
    • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 253,
    • pages = 111460,
    • month = mar,
    • doi = {10.1016/j.enbuild.2021.111460},
    • url = {https://www.merl.com/publications/TR2022-030}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
    BibTeX TR2022-030 PDF
    • @article{Chakrabarty2022mar,
    • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 253,
    • pages = 111460,
    • month = mar,
    • doi = {10.1016/j.enbuild.2021.111460},
    • url = {https://www.merl.com/publications/TR2022-030}
    • }
  •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning", AAAI Conference on Artificial Intelligence, February 2022.
    BibTeX TR2022-017 PDF
    • @inproceedings{Cao2022feb,
    • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
    • title = {Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-017}
    • }
  •  Cherian, A., Hori, C., Marks, T.K., Le Roux, J., "(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering", AAAI Conference on Artificial Intelligence, February 2022.
    BibTeX TR2022-014 PDF Video Presentation
    • @inproceedings{Cherian2022feb,
    • author = {Cherian, Anoop and Hori, Chiori and Marks, Tim K. and Le Roux, Jonathan},
    • title = {(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-014}
    • }
  •  Ke, L., Peng, K.-C., Lyu, S., "Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition", AAAI Conference on Artificial Intelligence, February 2022.
    BibTeX TR2022-015 PDF Presentation
    • @inproceedings{Ke2022feb,
    • author = {Ke, Lipeng and Peng, Kuan-Chuan and Lyu, Siwei},
    • title = {Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-015}
    • }