Publications

577 / 3,713 publications found.


  •  Vinod, A.P., Safaoui, S., Summers, T., Yoshikawa, N., Di Cairano, S., "Decentralized, Safe, Multi-agent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning", IEEE Transactions on Control Systems Technology, January 2025.
    BibTeX TR2024-136 PDF
    • @article{Vinod2025jan,
    • author = {Vinod, Abraham P. and Safaoui, Sleiman and Summers, Tyler and Yoshikawa, Nobuyuki and Di Cairano, Stefano}},
    • title = {Decentralized, Safe, Multi-agent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2025,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2024-136}
    • }
  •  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}
    • }
  •  Mowlavi, S., Benosman, M., "Reinforcement Learning-Based Estimation for Spatio-Temporal Systems", Nature Scientific Reports, DOI: 10.1038/​s41598-024-72055-1, Vol. 14, pp. 22464, October 2024.
    BibTeX TR2024-134 PDF
    • @article{Mowlavi2024oct,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine}},
    • title = {Reinforcement Learning-Based Estimation for Spatio-Temporal Systems},
    • journal = {Nature Scientific Reports},
    • year = 2024,
    • volume = 14,
    • pages = 22464,
    • month = oct,
    • doi = {10.1038/s41598-024-72055-1},
    • url = {https://www.merl.com/publications/TR2024-134}
    • }
  •  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}
    • }
  •  Hegde, D., Lohit, S., Peng, K.-C., Jones, M.J., Patel, V.M., "Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection", European Conference on Computer Vision (ECCV), September 2024.
    BibTeX TR2024-130 PDF Video Presentation
    • @inproceedings{Hegde2024sep,
    • author = {{Hegde, Deepti and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Patel, Vishal M.}},
    • title = {Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-130}
    • }
  •  Pais, G., Piedade, V., Chatterjee, M., Greiff, M., Miraldo, P., "A Probability-guided Sampler for Neural Implicit Surface Rendering", European Conference on Computer Vision (ECCV), September 2024.
    BibTeX TR2024-129 PDF
    • @inproceedings{Pais2024sep,
    • author = {Pais, Goncalo and Piedade, Valter and Chatterjee, Moitreya and Greiff, Marcus and Miraldo, Pedro}},
    • title = {A Probability-guided Sampler for Neural Implicit Surface Rendering},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-129}
    • }
  •  Cherian, A., Jain, S., Marks, T.K., "Few-shot Transparent Instance Segmentation for Bin Picking", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2024.
    BibTeX TR2024-127 PDF
    • @inproceedings{Cherian2024sep,
    • author = {Cherian, Anoop and Jain, Siddarth and Marks, Tim K.}},
    • title = {Few-shot Transparent Instance Segmentation for Bin Picking},
    • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-127}
    • }
  •  Yin, J., Luo, A., Du, Y., Cherian, A., Marks, T.K., Le Roux, J., Gan, C., "Disentangled Acoustic Fields For Multimodal Physical Scene Understanding", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2024.
    BibTeX TR2024-125 PDF
    • @inproceedings{Yin2024sep,
    • author = {Yin, Jie and Luo, Andrew and Du, Yilun and Cherian, Anoop and Marks, Tim K. and Le Roux, Jonathan and Gan, Chuang}},
    • title = {Disentangled Acoustic Fields For Multimodal Physical Scene Understanding},
    • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-125}
    • }
  •  Rahman, M., Yataka, R., Kato, S., Wang, P., Li, P., Cardace, A., Boufounos, P.T., "MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception", European Conference on Computer Vision (ECCV), September 2024.
    BibTeX TR2024-117 PDF Data
    • @inproceedings{Rahman2024sep,
    • author = {Rahman, Mahbub and Yataka, Ryoma and Kato, Sorachi and Wang, Pu and Li, Peizhao and Cardace, Adriano and Boufounos, Petros T.}},
    • title = {MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-117}
    • }
  •  Zhang, H., Wang, B., "Supervised Contrastive Learning for Electric Motor Bearing Fault Detection", International Conference on Electrical Machines (ICEM), September 2024.
    BibTeX TR2024-120 PDF
    • @inproceedings{Zhang2024sep,
    • author = {Zhang, Hengrui and Wang, Bingnan}},
    • title = {Supervised Contrastive Learning for Electric Motor Bearing Fault Detection},
    • booktitle = {International Conference on Electrical Machines (ICEM)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-120}
    • }
  •  Pan, Z., Wichern, G., Germain, F.G., Saijo, K., Le Roux, J., "PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation", Interspeech, DOI: 10.21437/​Interspeech.2024-1066, September 2024, pp. 582-586.
    BibTeX TR2024-124 PDF
    • @inproceedings{Pan2024sep,
    • author = {Pan, Zexu and Wichern, Gordon and Germain, François G and Saijo, Kohei and Le Roux, Jonathan}},
    • title = {PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation},
    • booktitle = {Interspeech},
    • year = 2024,
    • pages = {582--586},
    • month = sep,
    • doi = {10.21437/Interspeech.2024-1066},
    • issn = {2958-1796},
    • url = {https://www.merl.com/publications/TR2024-124}
    • }
  •  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), 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,
    • 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), 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,
    • 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}
    • }
  •  Safaoui, S., Vinod, A.P., Chakrabarty, A., Quirynen, R., Yoshikawa, N., Di Cairano, S., "Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning", IEEE Transactions on Robotics, DOI: 10.1109/​TRO.2024.3387010, Vol. 40, pp. 2529-2542, July 2024.
    BibTeX TR2024-048 PDF Video
    • @article{Safaoui2024jul,
    • author = {Safaoui, Sleiman and Vinod, Abraham P. and Chakrabarty, Ankush and Quirynen, Rien and Yoshikawa, Nobuyuki and Di Cairano, Stefano},
    • title = {Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning},
    • journal = {IEEE Transactions on Robotics},
    • year = 2024,
    • volume = 40,
    • pages = {2529--2542},
    • month = jul,
    • doi = {10.1109/TRO.2024.3387010},
    • url = {https://www.merl.com/publications/TR2024-048}
    • }
  •  Koike-Akino, T., Meng Chang, , Cevher, V., De Micheli, G., "Hardware-Efficient Quantization for Green Custom Foundation Models", International Conference on Machine Learning (ICML), July 2024.
    BibTeX TR2024-105 PDF
    • @inproceedings{Koike-Akino2024jul2,
    • author = {Koike-Akino, Toshiaki and Meng Chang and Cevher, Volkan and De Micheli, Giovanni}},
    • title = {Hardware-Efficient Quantization for Green Custom Foundation Models},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-105}
    • }
  •  Liu, J., Lowy, A., Koike-Akino, T., Parsons, K., Wang, Y., "Efficient Differentially Private Fine-Tuning of Diffusion Models", International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety), July 2024.
    BibTeX TR2024-104 PDF
    • @inproceedings{Liu2024jul,
    • author = {Liu, Jing and Lowy, Andrew and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye}},
    • title = {Efficient Differentially Private Fine-Tuning of Diffusion Models},
    • booktitle = {International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-104}
    • }
  •  Bimbraw, K., Liu, J., Wang, Y., Koike-Akino, T., "Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society, July 2024.
    BibTeX TR2024-103 PDF
    • @inproceedings{Bimbraw2024jul3,
    • author = {Bimbraw, Keshav and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki}},
    • title = {Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals},
    • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-103}
    • }
  •  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}
    • }
  •  Koike-Akino, T., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Machine Learning (ICML), July 2024.
    BibTeX TR2024-101 PDF
    • @inproceedings{Koike-Akino2024jul,
    • author = {Koike-Akino, Toshiaki and Cevher, Volkan}},
    • title = {Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-101}
    • }
  •  Giacomuzzo, G., Cescon, R., Romeres, D., Carli, R., Dalla Libera, A., "Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems", Learning for Dynamics & Control Conference (L4DC), July 2024.
    BibTeX TR2024-097 PDF
    • @inproceedings{Giacomuzzo2024jul,
    • author = {{Giacomuzzo, Giulio and Cescon, Riccardo and Romeres, Diego and Carli, Ruggero and Dalla Libera, Alberto}},
    • title = {Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems},
    • booktitle = {Learning for Dynamics \& Control Conference (L4DC)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-097}
    • }
  •  Laughman, C.R., Deshpande, V.M., Chakrabarty, A., Qiao, H., "Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal", nternational Refrigeration and Air Conditioning Conference at Purdue, July 2024.
    BibTeX TR2024-099 PDF
    • @inproceedings{Laughman2024jul,
    • author = {Laughman, Christopher R. and Deshpande, Vedang M. and Chakrabarty, Ankush and Qiao, Hongtao}},
    • title = {Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal},
    • booktitle = {nternational Refrigeration and Air Conditioning Conference at Purdue},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-099}
    • }
  •  Sun, Y., Guo, J., Parsons, K., Nagai, Y., "Improve Federated Learning Stability for Vehicle Trajectory Prediction", International Conference on Ubiquitous and Future Networks (UCIFN), July 2024.
    BibTeX TR2024-094 PDF
    • @inproceedings{Sun2024jul,
    • author = {Sun, Youbang and Guo, Jianlin and Parsons, Kieran and Nagai, Yukimasa}},
    • title = {Improve Federated Learning Stability for Vehicle Trajectory Prediction},
    • booktitle = {International Conference on Ubiquitous and Future Networks (UCIFN)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-094}
    • }
  •  Wang, Y., Berntorp, K., Menner, M., "Physics-Informed Road Monitoring and Suspension Control using Crowdsourced Vehicle Data", European Control Conference (ECC), DOI: 10.23919/​ECC64448.2024.10590862, June 2024, pp. 699-704.
    BibTeX TR2024-084 PDF
    • @inproceedings{Wang2024jun4,
    • author = {Wang, Yanbing and Berntorp, Karl and Menner, Marcel}},
    • title = {Physics-Informed Road Monitoring and Suspension Control using Crowdsourced Vehicle Data},
    • booktitle = {European Control Conference (ECC)},
    • year = 2024,
    • pages = {699--704},
    • month = jun,
    • doi = {10.23919/ECC64448.2024.10590862},
    • url = {https://www.merl.com/publications/TR2024-084}
    • }