Publications

294 / 3,364 publications found.


  •  Shirai, Y., Jha, D.K., Raghunathan, A., Romeres, D., "Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization", IEEE International Conference on Robotics and Automation (ICRA), DOI: 10.1109/​ICRA46639.2022.9811812, May 2022, pp. 992-998.
    BibTeX TR2022-045 PDF
    • @inproceedings{Shirai2022may,
    • author = {Shirai, Yuki and Jha, Devesh K. and Raghunathan, Arvind and Romeres, Diego},
    • title = {Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization},
    • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
    • year = 2022,
    • pages = {992--998},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICRA46639.2022.9811812},
    • url = {https://www.merl.com/publications/TR2022-045}
    • }
  •  Ma, Y., Guo, J., Wang, Y., Chakrabarty, A., Ahn, H., Orlik, P.V., Guan, X., Lu, C., "Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, DOI: 10.1109/​TCST.2022.3141581, May 2022.
    BibTeX TR2022-043 PDF
    • @article{Ma2022may,
    • author = {Ma, Yehan and Guo, Jianlin and Wang, Yebin and Chakrabarty, Ankush and Ahn, Heejin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
    • title = {Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems},
    • journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY},
    • year = 2022,
    • month = may,
    • doi = {10.1109/TCST.2022.3141581},
    • url = {https://www.merl.com/publications/TR2022-043}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Nagai, Y., Guo, J., Sumi, T., Orlik, P.V., Rolfe, B.A., Mineno, H., "Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things", IEEE Access, March 2022.
    BibTeX TR2022-037 PDF
    • @article{Nagai2022mar,
    • author = {Nagai, Yukimasa and Guo, Jianlin and Sumi, Takenori and Orlik, Philip V. and Rolfe, Benjamin A. and Mineno, Hiroshi},
    • title = {Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things},
    • journal = {IEEE Access},
    • year = 2022,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-037}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Nabi, Saleh, Grover, Piyush, Caulfield, Colm-cille, "Robust preconditioned one-shot methods and direct-adjoint-looping for optimising Reynolds-averaged turbulent flows", Tech. Rep. TR2022-031, Mitsubishi Electric Research Laboratories, Cambridge, MA, March 2022.
    BibTeX TR2022-031 PDF
    • @techreport{MERL_TR2022-031,
    • author = {Nabi, Saleh; Grover, Piyush; Caulfield, Colm-cille},
    • title = {Robust preconditioned one-shot methods and direct-adjoint-looping for optimising Reynolds-averaged turbulent flows},
    • institution = {MERL - Mitsubishi Electric Research Laboratories},
    • address = {Cambridge, MA 02139},
    • number = {TR2022-031},
    • month = mar,
    • year = 2022,
    • url = {https://www.merl.com/publications/TR2022-031/}
    • }
  •  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}
    • }
  •  Bortoff, S.A., Schwerdtner, P., Danielson, C., Di Cairano, S., Burns, D.J., "H-Infinity Loop-Shaped Model Predictive Control with HVAC Application", IEEE Transactions on Control Systems Technology, DOI: 10.1109/​TCST.2022.3141937, Vol. 30, No. 5, pp. 2188-2203, March 2022.
    BibTeX TR2022-028 PDF
    • @article{Bortoff2022mar,
    • author = {Bortoff, Scott A. and Schwerdtner, Paul and Danielson, Claus and Di Cairano, Stefano and Burns, Daniel J.},
    • title = {H-Infinity Loop-Shaped Model Predictive Control with HVAC Application},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2022,
    • volume = 30,
    • number = 5,
    • pages = {2188--2203},
    • month = mar,
    • doi = {10.1109/TCST.2022.3141937},
    • issn = {1063-6536},
    • url = {https://www.merl.com/publications/TR2022-028}
    • }
  •  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}
    • }
  •  Kantana, C., Ma, R., Benosman, M., Komatsuzaki, Y., Yamanaka, K., "A Hybrid Heuristic Search Control Assisted Optimization of Dual-Input Doherty Power Amplifier", European Microwave Conference 2021, February 2022.
    BibTeX TR2022-012 PDF
    • @inproceedings{Kantana2022feb,
    • author = {Kantana, Chouaib and Ma, Rui and Benosman, Mouhacine and Komatsuzaki, Yuji and Yamanaka, Koji},
    • title = {A Hybrid Heuristic Search Control Assisted Optimization of Dual-Input Doherty Power Amplifier},
    • booktitle = {European Microwave Conference 2021},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-012}
    • }
  •  Chakrabarty, A., Danielson, C., Bortoff, S.A., Laughman, C.R., "Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation", Applied Thermal Engineering, DOI: 10.1016/​j.applthermaleng.2021.117335, Vol. 197, pp. 117335, February 2022.
    BibTeX TR2022-010 PDF
    • @article{Chakrabarty2022feb,
    • author = {Chakrabarty, Ankush and Danielson, Claus and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation},
    • journal = {Applied Thermal Engineering},
    • year = 2022,
    • volume = 197,
    • pages = 117335,
    • month = feb,
    • doi = {10.1016/j.applthermaleng.2021.117335},
    • url = {https://www.merl.com/publications/TR2022-010}
    • }
  •  Vijayshankar, S., Chakrabarty, A., Grover, P., Nabi, S., "Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data", IFAC Journal of Systems and Control, DOI: 10.1016/​j.ifacsc.2021.100181, Vol. 19, pp. 100181, January 2022.
    BibTeX TR2022-009 PDF
    • @article{Vijayshankar2022jan,
    • author = {Vijayshankar, Sanjana and Chakrabarty, Ankush and Grover, Piyush and Nabi, Saleh},
    • title = {Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data},
    • journal = {IFAC Journal of Systems and Control},
    • year = 2022,
    • volume = 19,
    • pages = 100181,
    • month = jan,
    • doi = {10.1016/j.ifacsc.2021.100181},
    • url = {https://www.merl.com/publications/TR2022-009}
    • }
  •  Zhu, X., Yuan, L., Kim, K.J., Li, Q., Zhang, J., "Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation", IEEE Communications Letters, January 2022.
    BibTeX TR2022-008 PDF
    • @article{Zhu2022jan,
    • author = {Zhu, Xusheng and Yuan, Lei and Kim, Kyeong Jin and Li, Qingqing and Zhang, Jiliang},
    • title = {Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation},
    • journal = {IEEE Communications Letters},
    • year = 2022,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2022-008}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization", IEEE International Conference on Consumer Electronics (ICCE), DOI: 10.1109/​ICCE53296.2022.9730509, January 2022.
    BibTeX TR2022-005 PDF
    • @inproceedings{Fujihashi2022jan,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization},
    • booktitle = {IEEE International Conference on Consumer Electronics (ICCE)},
    • year = 2022,
    • month = jan,
    • publisher = {IEEE},
    • doi = {10.1109/ICCE53296.2022.9730509},
    • issn = {2158-4001},
    • isbn = {978-1-6654-4154-4},
    • url = {https://www.merl.com/publications/TR2022-005}
    • }
  •  Yu, L., Liu, D., Mansour, H., Boufounos, P.T., "Fast and High-Quality Blind Multi-Spectral Image Pansharpening", IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/​TGRS.2021.3091329, Vol. 60, pp. 1-17, January 2022.
    BibTeX TR2022-004 PDF
    • @article{Yu2022jan,
    • author = {Yu, Lantao and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
    • title = {Fast and High-Quality Blind Multi-Spectral Image Pansharpening},
    • journal = {IEEE Transactions on Geoscience and Remote Sensing},
    • year = 2022,
    • volume = 60,
    • pages = {1--17},
    • month = jan,
    • doi = {10.1109/TGRS.2021.3091329},
    • issn = {1558-0644},
    • url = {https://www.merl.com/publications/TR2022-004}
    • }
  •  Nohra, C.J., Raghunathan, A., Sahinidis, N.V., "SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs", Mathematical Programming B, December 2021.
    BibTeX TR2022-001 PDF
    • @article{Nohra2021dec,
    • author = {Nohra, Carlos J. and Raghunathan, Arvind and Sahinidis, Nikolaos V.},
    • title = {SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs},
    • journal = {Mathematical Programming B},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-001}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chakrabarty, A., "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.
    BibTeX TR2021-149 PDF
    • @inproceedings{Zhan2021dec,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2021-149}
    • }
  •  Quirynen, R., Di Cairano, S., "Sequential Quadratic Programming Algorithm for Real-Time Mixed-Integer Nonlinear MPC", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9683714, December 2021, pp. 993-999.
    BibTeX TR2021-147 PDF
    • @inproceedings{Quirynen2021dec,
    • author = {Quirynen, Rien and Di Cairano, Stefano},
    • title = {Sequential Quadratic Programming Algorithm for Real-Time Mixed-Integer Nonlinear MPC},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {993--999},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9683714},
    • url = {https://www.merl.com/publications/TR2021-147}
    • }
  •  Raghunathan, A., "Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682847, December 2021, pp. 968-973.
    BibTeX TR2021-150 PDF
    • @inproceedings{Raghunathan2021dec,
    • author = {Raghunathan, Arvind},
    • title = {Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {968--973},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682847},
    • issn = {2576-2370},
    • isbn = {978-1-6654-3659-5},
    • url = {https://www.merl.com/publications/TR2021-150}
    • }
  •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems (Elsevier Book), November 2021.
    BibTeX TR2021-142 PDF
    • @incollection{Kojima2021nov,
    • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {Machine Learning for design and optimization of photonic devices},
    • booktitle = {Machine Learning for Future Fiber Optic Communication Systems (Elsevier Book)},
    • year = 2021,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2021-142}
    • }
  •  Wang, P., Koike-Akino, T., Ma, R., Orlik, P.V., Yamashita, G., Tsujita, W., Nakajima, M., "Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50926.2021.9566940, November 2021.
    BibTeX TR2021-098 PDF
    • @inproceedings{Wang2021nov,
    • author = {Wang, Perry and Koike-Akino, Toshiaki and Ma, Rui and Orlik, Philip V. and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
    • title = {Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning},
    • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
    • year = 2021,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/IRMMW-THz50926.2021.9566940},
    • issn = {2162-2035},
    • isbn = {978-1-7281-9424-0},
    • url = {https://www.merl.com/publications/TR2021-098}
    • }
  •  Yao, G., WANG, P., Berntorp, K., Mansour, H., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar", International Conference on Information Fusion (FUSION), November 2021, pp. 1-8.
    BibTeX TR2021-138 PDF
    • @inproceedings{Yao2021nov,
    • author = {Yao, Gang and WANG, PU and Berntorp, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
    • title = {Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar},
    • booktitle = {International Conference on Information Fusion (FUSION)},
    • year = 2021,
    • pages = {1--8},
    • month = nov,
    • isbn = {IEEE Xplore},
    • url = {https://www.merl.com/publications/TR2021-138}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
    BibTeX TR2021-136 PDF Video Presentation
    • @inproceedings{Demir2021oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
    • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC46164.2021.9630194},
    • issn = {2694-0604},
    • isbn = {978-1-7281-1179-7},
    • url = {https://www.merl.com/publications/TR2021-136}
    • }