Publications

179 / 3,803 publications found.


  •  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}
    • }
  •  Lohit, S., Marks, T.K., "Rotation-Equivariant Neural Networks for Cloud Removal from Satellite Images", Asilomar Conference on Signals, Systems, and Computers (ACSSC), January 2025.
    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 = {Asilomar Conference on Signals, Systems, and Computers (ACSSC)},
    • year = 2025,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2025-009}
    • }
  •  Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Christopher R., , Azizan, N., Laughman, C.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 Christopher R. and Azizan, Navid and Laughman, 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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Shimane, Y., Miraldo, P., Berntorp, K., Greiff, M., Elango, P., Weiss, A., "High-Fidelity Simulation of Horizon-Based Optical Navigation with Open-Source Software", International Astronautical Congress (IAC), October 2023, pp. IAC-23,C1,5,9,x78805.
    BibTeX TR2023-128 PDF
    • @inproceedings{Shimane2023oct,
    • author = {Shimane, Yuri and Miraldo, Pedro and Berntorp, Karl and Greiff, Marcus and Elango, Purnanand and Weiss, Avishai},
    • title = {{High-Fidelity Simulation of Horizon-Based Optical Navigation with Open-Source Software}},
    • booktitle = {International Astronautical Congress (IAC)},
    • year = 2023,
    • pages = {IAC--23,C1,5,9,x78805},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2023-128}
    • }
  •  Germain, F., Wichern, G., Le Roux, J., "Hyperbolic Unsupervised Anomalous Sound Detection", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA58266.2023.10248092, September 2023.
    BibTeX TR2023-108 PDF Video Presentation
    • @inproceedings{Germain2023aug,
    • author = {Germain, Francois and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Hyperbolic Unsupervised Anomalous Sound Detection}},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2023,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA58266.2023.10248092},
    • issn = {1947-1629},
    • isbn = {979-8-3503-2372-6},
    • url = {https://www.merl.com/publications/TR2023-108}
    • }
  •  Shenoy, V., Marks, T.K., Mansour, H., Lohit, S., "Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP49359.2023.10222169, September 2023, pp. 2715-2719.
    BibTeX TR2023-116 PDF Video
    • @inproceedings{Shenoy2023sep,
    • author = {Shenoy, Vineet and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas},
    • title = {{Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent}},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2023,
    • pages = {2715--2719},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP49359.2023.10222169},
    • isbn = {978-1-7281-9835-4},
    • url = {https://www.merl.com/publications/TR2023-116}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming", ACM Computing Surveys, DOI: 10.1145/​3607139, Vol. 56, No. 2, pp. 1-37, August 2023.
    BibTeX TR2023-102 PDF
    • @article{Fujihashi2023aug,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {{Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming}},
    • journal = {ACM Computing Surveys},
    • year = 2023,
    • volume = 56,
    • number = 2,
    • pages = {1--37},
    • month = aug,
    • doi = {10.1145/3607139},
    • url = {https://www.merl.com/publications/TR2023-102}
    • }
  •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "Joint Software-Hardware Design for Green AI", International Midwest Symposium on Circuits and Systems (MWSCAS), DOI: 10.1109/​MWSCAS57524.2023.10405937, August 2023.
    BibTeX TR2023-096 PDF
    • @inproceedings{Ahmed2023aug,
    • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Joint Software-Hardware Design for Green AI}},
    • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
    • year = 2023,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/MWSCAS57524.2023.10405937},
    • issn = {1558-3899},
    • isbn = {979-8-3503-0210-3},
    • url = {https://www.merl.com/publications/TR2023-096}
    • }
  •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs", International Midwest Symposium on Circuits and Systems (MWSCAS), DOI: 10.1109/​MWSCAS57524.2023.10405914, August 2023.
    BibTeX TR2023-097 PDF
    • @inproceedings{Ahmed2023aug2,
    • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs}},
    • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
    • year = 2023,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/MWSCAS57524.2023.10405914},
    • issn = {1558-3899},
    • isbn = {979-8-3503-0210-3},
    • url = {https://www.merl.com/publications/TR2023-097}
    • }
  •  Zhang, J., Nikovski, D., Kojima, T., "3T-Net: Transformer Encoders for Destination Prediction", The Chinese Control Conference, DOI: 10.23919/​CCC58697.2023.10240616, July 2023.
    BibTeX TR2023-094 PDF Presentation
    • @inproceedings{Zhang2023jul3,
    • author = {Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
    • title = {{3T-Net: Transformer Encoders for Destination Prediction}},
    • booktitle = {The Chinese Control Conference},
    • year = 2023,
    • month = jul,
    • doi = {10.23919/CCC58697.2023.10240616},
    • url = {https://www.merl.com/publications/TR2023-094}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "Meta-Learning of Neural State-Space Models Using Data From Similar Systems", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/​j.ifacol.2023.10.1843, July 2023.
    BibTeX TR2023-087 PDF Software
    • @inproceedings{Chakrabarty2023jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {{Meta-Learning of Neural State-Space Models Using Data From Similar Systems}},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2023,
    • month = jul,
    • doi = {10.1016/j.ifacol.2023.10.1843},
    • url = {https://www.merl.com/publications/TR2023-087}
    • }
  •  Ota, K., Jha, D.K., Tung, H.-Y., Tenenbaum, J.B., "Tactile-Filter: Interactive Tactile Perception for Part Mating", Robotics: Science and Systems (RSS), DOI: 10.15607/​RSS.2023.XIX.079, June 2023.
    BibTeX TR2023-077 PDF Video
    • @inproceedings{Ota2023jun,
    • author = {Ota, Kei and Jha, Devesh K. and Tung, Hsiao-Yu and Tenenbaum, Joshua B.},
    • title = {{Tactile-Filter: Interactive Tactile Perception for Part Mating}},
    • booktitle = {Robotics: Science and Systems (RSS)},
    • year = 2023,
    • month = jun,
    • doi = {10.15607/RSS.2023.XIX.079},
    • url = {https://www.merl.com/publications/TR2023-077}
    • }
  •  Salatiello, A., Wang, Y., Wichern, G., Koike-Akino, T., Yoshihiro, O., Kaneko, Y., Laughman, C.R., Chakrabarty, A., "Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?", ACM e-Energy Conference, DOI: 10.1145/​3599733.3600260, June 2023.
    BibTeX TR2023-072 PDF
    • @inproceedings{Salatiello2023jun,
    • author = {Salatiello, Alessandro and Wang, Ye and Wichern, Gordon and Koike-Akino, Toshiaki and Yoshihiro, Ohta and Kaneko, Yosuke and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?}},
    • booktitle = {ACM e-Energy Conference},
    • year = 2023,
    • month = jun,
    • doi = {10.1145/3599733.3600260},
    • url = {https://www.merl.com/publications/TR2023-072}
    • }
  •  Singh, A., Jones, M.J., Learned-Miller, E., "EVAL: Explainable Video Anomaly Localization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR52729.2023.01795, June 2023.
    BibTeX TR2023-071 PDF Video Software Presentation
    • @inproceedings{Singh2023jun,
    • author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik},
    • title = {{EVAL: Explainable Video Anomaly Localization}},
    • booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2023,
    • month = jun,
    • doi = {10.1109/CVPR52729.2023.01795},
    • url = {https://www.merl.com/publications/TR2023-071}
    • }
  •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), DOI: 10.1109/​COMPUMAG56388.2023.10411811, May 2023, pp. 1-4.
    BibTeX TR2023-042 PDF
    • @inproceedings{Xu2023may,
    • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki},
    • title = {{Comparison of Learning-based Surrogate Models for Electric Motors}},
    • booktitle = {2023 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
    • year = 2023,
    • pages = {1--4},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/COMPUMAG56388.2023.10411811},
    • url = {https://www.merl.com/publications/TR2023-042}
    • }
  •  Bralios, D., Tzinis, E., Wichern, G., Smaragdis, P., Le Roux, J., "Latent Iterative Refinement for Modular Source Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096897, May 2023, pp. 1-5.
    BibTeX TR2023-019 PDF
    • @inproceedings{Bralios2023may,
    • author = {Bralios, Dimitrios and Tzinis, Efthymios and Wichern, Gordon and Smaragdis, Paris and {Le Roux}, Jonathan},
    • title = {{Latent Iterative Refinement for Modular Source Separation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • pages = {1--5},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096897},
    • url = {https://www.merl.com/publications/TR2023-019}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10095882, May 2023.
    BibTeX TR2023-031 PDF
    • @inproceedings{Fujihashi2023may,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {{Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10095882},
    • isbn = {978-1-7281-6327-7},
    • url = {https://www.merl.com/publications/TR2023-031}
    • }