Publications

280 / 3,904 publications found.


  •  Sun, S., Wang, Y., Koike-Akino, T., Yamamoto, T., Sakamoto, Y., Wang, B., "Image-based Deep Learning Models for Electric Motors", International Conference on the Computation of Electromagnetic Fields (COMPUMAG), June 2025.
    BibTeX TR2025-088 PDF
    • @inproceedings{Sun2025jun,
    • author = {Sun, Siyuan and Wang, Ye and Koike-Akino, Toshiaki and Yamamoto, Tatsuya and Sakamoto, Yusuke and Wang, Bingnan},
    • title = {{Image-based Deep Learning Models for Electric Motors}},
    • booktitle = {International Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-088}
    • }
  •  Guo, P., Liu, D., Wang, B., Wang, Y., Inoue, H., Kanemaru, M., "Deep Generalized Canonical Correlation Analysis for Motor Fault Diagnosis", 2025 IEEE Industry Applications Society Annual Meeting (IAS), June 2025.
    BibTeX TR2025-085 PDF
    • @inproceedings{Guo2025jun2,
    • author = {Guo, Peikun and Liu, Dehong and Wang, Bingnan and Wang, Yebin and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {{Deep Generalized Canonical Correlation Analysis for Motor Fault Diagnosis}},
    • booktitle = {2025 IEEE Industry Applications Society Annual Meeting (IAS)},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-085}
    • }
  •  Hazarika, A., Guo, J., Parsons, K., Nagai, Y., Sumi, T., Orlik, P.V., Rahmati, M., "AgriNex: Next-Gen Smart Agriculture with LLM-Integrated UAV-IoT Solutions", IEEE International Conference on Communications Workshops (ICC), June 2025.
    BibTeX TR2025-081 PDF
    • @inproceedings{Hazarika2025jun,
    • author = {Hazarika, Ananya and Guo, Jianlin and Parsons, Kieran and Nagai, Yukimasa and Sumi, Takenori and Orlik, Philip V. and Rahmati, Mehdi},
    • title = {{AgriNex: Next-Gen Smart Agriculture with LLM-Integrated UAV-IoT Solutions}},
    • booktitle = {IEEE International Conference on Communications Workshops (ICC)},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-081}
    • }
  •  Xiong, G., Guo, J., Parsons, K., Nagai, Y., Sumi, T., Orlik, P.V., Li, J., "UAV Aided Smart Agriculture Networks: A Multi-Agent Reinforcement Learning Approach", IEEE International Conference on Communications Workshops (ICC), June 2025.
    BibTeX TR2025-082 PDF
    • @inproceedings{Xiong2025jun,
    • author = {Xiong, Guojun and Guo, Jianlin and Parsons, Kieran and Nagai, Yukimasa and Sumi, Takenori and Orlik, Philip V. and Li, Jian},
    • title = {{UAV Aided Smart Agriculture Networks: A Multi-Agent Reinforcement Learning Approach}},
    • booktitle = {IEEE International Conference on Communications Workshops (ICC)},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-082}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Rateless Deep Joint Source Channel Coding for 3D Point Cloud", IEEE Access, DOI: 10.1109/​ACCESS.2025.3546514, Vol. 13, pp. 39585-39599, June 2025.
    BibTeX TR2025-069 PDF
    • @article{Fujihashi2025jun,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {{Rateless Deep Joint Source Channel Coding for 3D Point Cloud}},
    • journal = {IEEE Access},
    • year = 2025,
    • volume = 13,
    • pages = {39585--39599},
    • month = jun,
    • doi = {10.1109/ACCESS.2025.3546514},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2025-069}
    • }
  •  Sun, S., Wang, Y., Koike-Akino, T., Yamamoto, T., Sakamoto, Y., Wang, B., "Electric Motor Cogging Torque Prediction with Vision Transformer Models", IEEE International Electric Machines and Drives Conference (IEMDC), May 2025.
    BibTeX TR2025-059 PDF
    • @inproceedings{Sun2025may,
    • author = {Sun, Siyuan and Wang, Ye and Koike-Akino, Toshiaki and Yamamoto, Tatsuya and Sakamoto, Yusuke and Wang, Bingnan},
    • title = {{Electric Motor Cogging Torque Prediction with Vision Transformer Models}},
    • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
    • year = 2025,
    • month = may,
    • url = {https://www.merl.com/publications/TR2025-059}
    • }
  •  Basu, S., Lohit, S., Brand, M., "G-RepsNet: A Lightweight Construction of Equivariant Net- works for Arbitrary Matrix Groups", Transactions on Machine Learning Research (TMLR), May 2025.
    BibTeX TR2025-056 PDF Software
    • @article{Basu2025may,
    • author = {Basu, Sourya and Lohit, Suhas and Brand, Matthew},
    • title = {{G-RepsNet: A Lightweight Construction of Equivariant Net- works for Arbitrary Matrix Groups}},
    • journal = {Transactions on Machine Learning Research (TMLR)},
    • year = 2025,
    • month = may,
    • issn = {2835-8856},
    • url = {https://www.merl.com/publications/TR2025-056}
    • }
  •  Masuyama, Y., Chang, X., Zhang, W., Cornell, S., Wang, Z.-Q., Ono, N., Qian, Y., Watanabe, S., "An End-to-End Integration of Speech Separation and Recognition with Self-Supervised Learning Representation", Computer Speech & Language, DOI: 10.1016/​j.csl.2025.101813, Vol. 95, pp. 101813, May 2025.
    BibTeX TR2025-054 PDF
    • @article{Masuyama2025may,
    • author = {Masuyama, Yoshiki and Chang, Xuankai and Zhang, Wangyou and Cornell, Samuele and Wang, Zhong-Qiu and Ono, Nobutaka and Qian, Yanmin and Watanabe, Shinji},
    • title = {{An End-to-End Integration of Speech Separation and Recognition with Self-Supervised Learning Representation}},
    • journal = {Computer Speech \& Language},
    • year = 2025,
    • volume = 95,
    • pages = 101813,
    • month = may,
    • doi = {10.1016/j.csl.2025.101813},
    • issn = {0885-2308},
    • url = {https://www.merl.com/publications/TR2025-054}
    • }
  •  Tang, H., Ellis, K., Lohit, S., Jones, M.J., Chatterjee, M., "Programmatic Video Prediction Using Large Language Models", International Conference on Learning Representations Workshops (ICLRW), April 2025.
    BibTeX TR2025-049 PDF
    • @inproceedings{Tang2025apr,
    • author = {Tang, Hao and Ellis, Kevin and Lohit, Suhas and Jones, Michael J. and Chatterjee, Moitreya},
    • title = {{Programmatic Video Prediction Using Large Language Models}},
    • booktitle = {International Conference on Learning Representations Workshops (ICLRW)},
    • year = 2025,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2025-049}
    • }
  •  Chakrabarty, A., Vanfretti, L., Wang, Y., Mineyuki, T., Zhan, S., Tang, W.-T., Paulson, J.A., Deshpande, V.M., Bortoff, S.A., Laughman, C.R., "Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation", Building Simulation, DOI: 10.1007/​s12273-025-1260-8, April 2025.
    BibTeX TR2025-043 PDF
    • @article{Chakrabarty2025apr,
    • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Wang, Ye and Mineyuki, Takuma and Zhan, Sicheng and Tang, Wei-Ting and Paulson, Joel A. and Deshpande, Vedang M. and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {{Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation}},
    • journal = {Building Simulation},
    • year = 2025,
    • month = apr,
    • doi = {10.1007/s12273-025-1260-8},
    • url = {https://www.merl.com/publications/TR2025-043}
    • }
  •  Shenoy, V., Lohit, S., Mansour, H., Chellappa, R., Marks, T.K., "Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models", arXiv, March 2025.
    BibTeX arXiv
    • @article{Shenoy2025mar,
    • author = {Shenoy, Vineet and Lohit, Suhas and Mansour, Hassan and Chellappa, Rama and Marks, Tim K.},
    • title = {{Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models}},
    • journal = {arXiv},
    • year = 2025,
    • month = mar,
    • url = {https://arxiv.org/abs/2503.17269}
    • }
  •  Cai, X., Queeney, J., Xu, T., Datar, A., Pan, C., Miller, M., Flather, A., Osteen, P.R., Roy, N., Xiao, X., How, J.P., "PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain", IEEE Robotics and Automation Letters (RA-L), DOI: 10.1109/​LRA.2025.3527285, Vol. 10, No. 3, pp. 2359-2366, February 2025.
    BibTeX TR2025-022 PDF
    • @article{Cai2025feb,
    • author = {Cai, Xiaoyi and Queeney, James and Xu, Tong and Datar, Aniket and Pan, Chenhui and Miller, Max and Flather, Ashton and Osteen, Philip R. and Roy, Nicholas and Xiao, Xuesu and How, Jonathan P.},
    • title = {{PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain}},
    • journal = {IEEE Robotics and Automation Letters (RA-L)},
    • year = 2025,
    • volume = 10,
    • number = 3,
    • pages = {2359--2366},
    • month = feb,
    • doi = {10.1109/LRA.2025.3527285},
    • url = {https://www.merl.com/publications/TR2025-022}
    • }
  •  Queeney, J., Paschalidis, I.C., Cassandras, C.G., "Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse", IEEE Transactions on Automatic Control, DOI: 10.1109/​TAC.2024.3454011, Vol. 70, No. 2, pp. 1236-1243, February 2025.
    BibTeX TR2025-015 PDF
    • @article{Queeney2025feb,
    • author = {Queeney, James and Paschalidis, Ioannis Ch. and Cassandras, Christos G.},
    • title = {{Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse}},
    • journal = {IEEE Transactions on Automatic Control},
    • year = 2025,
    • volume = 70,
    • number = 2,
    • pages = {1236--1243},
    • month = feb,
    • doi = {10.1109/TAC.2024.3454011},
    • url = {https://www.merl.com/publications/TR2025-015}
    • }
  •  Lohit, S., Marks, T.K., "Rotation-Equivariant Neural Networks for Cloud Removal from Satellite Images", Asilomar Conference on Signals, Systems, and Computers (ACSSC), DOI: 10.1109/​IEEECONF60004.2024.10942613, January 2025, pp. 1360-1365.
    BibTeX TR2025-009 PDF
    • @inproceedings{Lohit2025jan,
    • author = {Lohit, Suhas and Marks, Tim K.},
    • title = {{Rotation-Equivariant Neural Networks for Cloud Removal from Satellite Images}},
    • booktitle = {2024 58th Asilomar Conference on Signals, Systems, and Computers (ACSSC)},
    • year = 2025,
    • pages = {1360--1365},
    • month = jan,
    • publisher = {IEEE},
    • doi = {10.1109/IEEECONF60004.2024.10942613},
    • issn = {2576-2303},
    • isbn = {979-8-3503-5405-8},
    • url = {https://www.merl.com/publications/TR2025-009}
    • }
  •  Zhong, J., Nikovski, D.N., Yerazunis, W.S., Ando, T., "Learning Time-Optimal Control of Gantry Cranes", International Conference on Machine Learning and Applications (ICMLA), DOI: 10.1109/​ICMLA61862.2024.00139, December 2024, pp. 945-950.
    BibTeX TR2024-181 PDF
    • @inproceedings{Zhong2024dec,
    • author = {Zhong, Junmin and Nikovski, Daniel N. and Yerazunis, William S. and Ando, Taishi},
    • title = {{Learning Time-Optimal Control of Gantry Cranes}},
    • booktitle = {International Conference on Machine Learning and Applications (ICMLA)},
    • year = 2024,
    • pages = {945--950},
    • month = dec,
    • doi = {10.1109/ICMLA61862.2024.00139},
    • url = {https://www.merl.com/publications/TR2024-181}
    • }
  •  Chakrabarty, A., Deshpande, V.M., Wichern, G., Berntorp, K., "Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC56724.2024.10886249, December 2024.
    BibTeX TR2024-180 PDF
    • @inproceedings{Chakrabarty2024dec,
    • author = {Chakrabarty, Ankush and Deshpande, Vedang M. and Wichern, Gordon and Berntorp, Karl},
    • title = {{Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications}},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2024,
    • month = dec,
    • doi = {10.1109/CDC56724.2024.10886249},
    • url = {https://www.merl.com/publications/TR2024-180}
    • }
  •  Ozcan, E.C., Giammarino, V., Queeney, J., Paschalidis, I.C., "A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC56724.2024.10885921, December 2024, pp. 1147-1152.
    BibTeX TR2024-178 PDF
    • @inproceedings{Ozcan2024dec,
    • author = {Ozcan, Erhan Can and Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.},
    • title = {{A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations}},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2024,
    • pages = {1147--1152},
    • month = dec,
    • doi = {10.1109/CDC56724.2024.10885921},
    • url = {https://www.merl.com/publications/TR2024-178}
    • }
  •  Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Laughman, C.R., Azizan, N., Chakrabarty, A., "Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2025-001 PDF
    • @inproceedings{Park2024dec,
    • author = {{{Park, Young-Jin and Germain, François G and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Wichern, Gordon and Laughman, Christopher R. and Azizan, Navid and Chakrabarty, Ankush}}},
    • title = {{{Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?}}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2025-001}
    • }
  •  Queeney, J., Cai, X., Benosman, M., How, J.P., "GRAM: Generalization in Deep RL with a Robust Adaptation Module", arXiv, December 2024.
    BibTeX arXiv
    • @article{Queeney2024dec,
    • author = {Queeney, James and Cai, Xiaoyi and Benosman, Mouhacine and How, Jonathan P.},
    • title = {{GRAM: Generalization in Deep RL with a Robust Adaptation Module}},
    • journal = {arXiv},
    • year = 2024,
    • month = dec,
    • url = {https://arxiv.org/abs/2412.04323}
    • }
  •  Vanfretti, L., Laughman, C.R., Chakrabarty, A., "Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation", American Modelica Conference, October 2024.
    BibTeX TR2024-140 PDF
    • @inproceedings{Vanfretti2024oct,
    • author = {Vanfretti, Luigi and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation}},
    • booktitle = {American Modelica Conference},
    • year = 2024,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2024-140}
    • }
  •  Sanz-Gorrachategui, I., Wang, Y., Guillen-Asenio, A., Bono-Nuez, A., Martín-del-Brío, B., Orlik, P.V., Pastor-Flores, P., "Remaining Useful Life Estimation of Used Li-Ion Cells with Deep Learning Algorithms without First Life Information", IEEE Access, DOI: 10.1109/​ACCESS.2024.3474089, Vol. 12, pp. 147798-147808, October 2024.
    BibTeX TR2024-155 PDF
    • @article{Sanz-Gorrachategui2024oct,
    • author = {Sanz-Gorrachategui, Ivan and Wang, Ye and Guillen-Asenio, Alejandro and Bono-Nuez, Antonio and Martín-del-Brío, Bonifacio and Orlik, Philip V. and Pastor-Flores, Pablo},
    • title = {{Remaining Useful Life Estimation of Used Li-Ion Cells with Deep Learning Algorithms without First Life Information}},
    • journal = {IEEE Access},
    • year = 2024,
    • volume = 12,
    • pages = {147798--147808},
    • month = oct,
    • doi = {10.1109/ACCESS.2024.3474089},
    • url = {https://www.merl.com/publications/TR2024-155}
    • }
  •  Cao, W., Gao, J., Ma, T., Ma, R., Benosman, M., Zhang, X., "ROSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, September 2024.
    BibTeX TR2024-132 PDF
    • @article{Cao2024sep,
    • author = {Cao, Weidong and Gao, Jian and Ma, Tianrui and Ma, Rui and Benosman, Mouhacine and Zhang, Xuan},
    • title = {{ROSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning}},
    • journal = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-132}
    • }
  •  Bahrman, L., Fontaine, M., Le Roux, J., Richard, G., "Speech Dereverberation Constrained on Room Impulse Response Characteristics", Interspeech, DOI: 10.21437/​Interspeech.2024-1173, September 2024, pp. 622-626.
    BibTeX TR2024-121 PDF
    • @inproceedings{Bahrman2024sep,
    • author = {Bahrman, Louis and Fontaine, Mathieu and {Le Roux}, Jonathan and Richard, Gaël},
    • title = {{Speech Dereverberation Constrained on Room Impulse Response Characteristics}},
    • booktitle = {Interspeech},
    • year = 2024,
    • pages = {622--626},
    • month = sep,
    • doi = {10.21437/Interspeech.2024-1173},
    • issn = {2958-1796},
    • url = {https://www.merl.com/publications/TR2024-121}
    • }
  •  Yan, J., Chakrabarty, A., Rupenyan, A., Lygeros, J., "MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models", International Conference on Automation Science and Engineering (CASE), DOI: 10.1109/​CASE59546.2024.10711717, August 2024.
    BibTeX TR2024-115 PDF
    • @inproceedings{Yan2024aug,
    • author = {Yan, Jiaqi and Chakrabarty, Ankush and Rupenyan, Alisa and Lygeros, John},
    • title = {{MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models}},
    • booktitle = {International Conference on Automation Science and Engineering (CASE)},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CASE59546.2024.10711717},
    • url = {https://www.merl.com/publications/TR2024-115}
    • }
  •  Shastri, S., Ma, Y., Boufounos, P.T., Mansour, H., "Deep Calibration and Operator Learning for Ground Penetrating Radar Imaging", European Signal Processing Conference (EUSIPCO), DOI: 10.23919/​EUSIPCO63174.2024.10715281, August 2024.
    BibTeX TR2024-128 PDF
    • @inproceedings{Shastri2024aug,
    • author = {Shastri, Saurav and Ma, Yanting and Boufounos, Petros T. and Mansour, Hassan},
    • title = {{Deep Calibration and Operator Learning for Ground Penetrating Radar Imaging}},
    • booktitle = {European Signal Processing Conference (EUSIPCO)},
    • year = 2024,
    • month = aug,
    • doi = {10.23919/EUSIPCO63174.2024.10715281},
    • issn = {2076-1465},
    • isbn = {978-9-4645-9361-7},
    • url = {https://www.merl.com/publications/TR2024-128}
    • }