- 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, 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,
- url = {https://www.merl.com/publications/TR2025-043}
- }
- 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), December 2024.
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,
- month = dec,
- 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}
- }
- 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}
- }
- Chakrabarty, A., Vanfretti, L., Bortoff, S.A., Deshpande, V.M., Wang, Y., Paulson, J.A., Zhan, S., Laughman, C.R., "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, DOI: 10.1109/CCTA60707.2024.10666585, August 2024.
BibTeX TR2024-113 PDF- @inproceedings{Chakrabarty2024aug,
- author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.},
- title = {{Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks}},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
- year = 2024,
- month = aug,
- doi = {10.1109/CCTA60707.2024.10666585},
- url = {https://www.merl.com/publications/TR2024-113}
- }
- Sorouifar, F., Paulson, J.A., Wang, Y., Quirynen, R., Laughman, C.R., Chakrabarty, A., "Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/CCTA60707.2024.10666537, August 2024.
BibTeX TR2024-110 PDF- @inproceedings{Sorouifar2024aug,
- author = {Sorouifar, Farshud and Paulson, Joel A. and Wang, Ye and Quirynen, Rien and Laughman, Christopher R. and Chakrabarty, Ankush},
- title = {{Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems}},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
- year = 2024,
- month = aug,
- doi = {10.1109/CCTA60707.2024.10666537},
- url = {https://www.merl.com/publications/TR2024-110}
- }
- Ma, J., Qiao, H., Laughman, C.R., "A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems", International Refrigeration and Air Conditioning Conference at Purdue, July 2024.
BibTeX TR2024-102 PDF- @inproceedings{Ma2024jul,
- author = {Ma, JiaCheng and Qiao, Hongtao and Laughman, Christopher R.},
- title = {{A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems}},
- booktitle = {International Refrigeration and Air Conditioning Conference at Purdue},
- year = 2024,
- month = jul,
- url = {https://www.merl.com/publications/TR2024-102}
- }
- Mitsui, Y., Aihara, R., Hori, T., Le Roux, J., Taguchi, S., "Exploring Keyword Enrollment for Japanese End-to-End Automatic Speech Recognition using Contextual Biasing", OTOGAKU Symposium, June 2024.
BibTeX TR2024-073 PDF- @inproceedings{Mitsui2024jun,
- author = {Mitsui, Yoshiki and Aihara, Ryo and Hori, Takaaki and {Le Roux}, Jonathan and Taguchi, Shinya},
- title = {{Exploring Keyword Enrollment for Japanese End-to-End Automatic Speech Recognition using Contextual Biasing}},
- booktitle = {OTOGAKU Symposium},
- year = 2024,
- month = jun,
- publisher = {Information Processing Society of Japan},
- issn = {2188-8663},
- url = {https://www.merl.com/publications/TR2024-073}
- }
- He, Y., Cherian, A., Wichern, G., Markham, A., "Deep Neural Room Acoustics Primitive", International Conference on Machine Learning (ICML), June 2024, pp. 17842-17857.
BibTeX TR2024-072 PDF- @inproceedings{He2024jun,
- author = {He, Yuhang and Cherian, Anoop and Wichern, Gordon and Markham, Andrew},
- title = {{Deep Neural Room Acoustics Primitive}},
- booktitle = {International Conference on Machine Learning (ICML)},
- year = 2024,
- pages = {17842--17857},
- month = jun,
- url = {https://www.merl.com/publications/TR2024-072}
- }
- Wang, B., Sakamoto, Y., "Data-efficient Machine Learning Methods for Electric Motor Surrogate Models", Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), June 2024.
BibTeX TR2024-064 PDF- @inproceedings{Wang2024jun2,
- author = {Wang, Bingnan and Sakamoto, Yusuke},
- title = {{Data-efficient Machine Learning Methods for Electric Motor Surrogate Models}},
- booktitle = {Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)},
- year = 2024,
- month = jun,
- url = {https://www.merl.com/publications/TR2024-064}
- }
- Singh, A., Jones, M.J., Learned-Miller, E., "Tracklet-based Explainable Video Anomaly Localization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, May 2024, pp. 3992-4001.
BibTeX TR2024-057 PDF- @inproceedings{Singh2024may,
- author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik},
- title = {{Tracklet-based Explainable Video Anomaly Localization}},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
- year = 2024,
- pages = {3992--4001},
- month = may,
- url = {https://www.merl.com/publications/TR2024-057}
- }
- Ota, K., Jha, D.K., Kanezaki, A., "A Framework for Training Larger Networks for Deep Reinforcement Learning", Machine Learning Journal, DOI: 10.1007/s10994-024-06547-6, Vol. 113, pp. 6115–6139, May 2024.
BibTeX TR2024-058 PDF- @article{Ota2024may3,
- author = {Ota, Kei and Jha, Devesh K. and Kanezaki, Asako},
- title = {{A Framework for Training Larger Networks for Deep Reinforcement Learning}},
- journal = {Machine Learning Journal},
- year = 2024,
- volume = 113,
- pages = {6115–6139},
- month = may,
- doi = {10.1007/s10994-024-06547-6},
- url = {https://www.merl.com/publications/TR2024-058}
- }
- Reiter, R., Quirynen, R., Diehl, M., Di Cairano, S., "Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2024.3400571, May 2024.
BibTeX TR2024-056 PDF- @article{Reiter2024may2,
- author = {Reiter, Rudolf and Quirynen, Rien and Diehl, Moritz and {Di Cairano}, Stefano},
- title = {{Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning}},
- journal = {IEEE Transactions on Control Systems Technology},
- year = 2024,
- month = may,
- doi = {10.1109/TCST.2024.3400571},
- url = {https://www.merl.com/publications/TR2024-056}
- }
- Queeney, J., Ozcan, E.C., Paschalidis, I.C., Cassandras, C.G., "Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees", Transactions on Machine Learning Research (TMLR), April 2024.
BibTeX TR2024-037 PDF- @article{Queeney2024apr,
- author = {Queeney, James and Ozcan, Erhan Can and Paschalidis, Ioannis Ch. and Cassandras, Christos G.},
- title = {{Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees}},
- journal = {Transactions on Machine Learning Research (TMLR)},
- year = 2024,
- month = apr,
- issn = {2835-8856},
- url = {https://www.merl.com/publications/TR2024-037}
- }
- Queeney, J., Benosman, M., "Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning", Advances in Neural Information Processing Systems (NeurIPS), A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine, Eds., December 2023, pp. 1659-1680.
BibTeX TR2023-143 PDF- @inproceedings{Queeney2023dec,
- author = {Queeney, James and Benosman, Mouhacine},
- title = {{Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning}},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2023,
- editor = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
- pages = {1659--1680},
- month = dec,
- publisher = {Curran Associates, Inc.},
- url = {https://www.merl.com/publications/TR2023-143}
- }
- Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Electric Machine Inverse Design with Variational Auto-Encoder (VAE)", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/ECCE53617.2023.10362903, October 2023.
BibTeX TR2023-134 PDF- @inproceedings{Xu2023nov,
- author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
- title = {{Electric Machine Inverse Design with Variational Auto-Encoder (VAE)}},
- booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
- year = 2023,
- month = oct,
- publisher = {IEEE},
- doi = {10.1109/ECCE53617.2023.10362903},
- issn = {2329-3748},
- isbn = {979-8-3503-1644-5},
- url = {https://www.merl.com/publications/TR2023-134}
- }