Publications

622 / 3,799 publications found.


  •  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}
    • }
  •  Bimbraw, K., Wang, Y., Liu, J., Koike-Akino, T., "GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-175 PDF Presentation
    • @inproceedings{Bimbraw2024dec,
    • author = {Bimbraw, Keshav and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki},
    • title = {{GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM}},
    • booktitle = {Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond Workshop at Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-175}
    • }
  •  Chen, X., Wang, Y., Brand, M., Wang, P., Liu, J., Koike-Akino, T., "Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-157 PDF Presentation
    • @inproceedings{Chen2024dec,
    • author = {Chen, Xiangyu and Wang, Ye and Brand, Matthew and Wang, Pu and Liu, Jing and Koike-Akino, Toshiaki},
    • title = {{Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation}},
    • booktitle = {Workshop on Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning at Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-157}
    • }
  •  Fujihashi, T., Kato, S., Koike-Akino, T., "FV-NeRV: Neural Compression for Free Viewpoint Videos", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-176 PDF
    • @inproceedings{Fujihashi2024dec,
    • author = {Fujihashi, Takuya and Kato, Sorachi and Koike-Akino, Toshiaki},
    • title = {{FV-NeRV: Neural Compression for Free Viewpoint Videos}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-176}
    • }
  •  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}
    • }
  •  Tang, W.-T., Chakrabarty, A., Paulson, J.A., "TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-167 PDF
    • @inproceedings{Tang2024dec,
    • author = {Tang, Wei-Ting and Chakrabarty, Ankush and Paulson, Joel A.},
    • title = {{TR-BEACON: Shedding Light on Efficient Behavior Discovery in High-Dimensional Spaces with Bayesian Novelty Search over Trust Regions}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-167}
    • }
  •  Liu, J., Wang, Y., Koike-Akino, T., Nakai, T., Oonishi, K., Higashi, T., "MEL-PETs Defense for the NeurIPS 2024 LLM Privacy Challenge Blue Team Track", LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS) 2024, December 2024.
    BibTeX TR2024-166 PDF Video Presentation
    • @inproceedings{Liu2024dec,
    • author = {Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Nakai, Tsunato and Oonishi, Kento and Higashi, Takuya},
    • title = {{MEL-PETs Defense for the NeurIPS 2024 LLM Privacy Challenge Blue Team Track}},
    • booktitle = {LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS) 2024},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-166}
    • }
  •  Wang, Y., Nakai, T., Liu, J., Koike-Akino, T., Oonishi, K., Higashi, T., "MEL-PETs Joint-Context Attack for the NeurIPS 2024 LLM Privacy Challenge Red Team Track", LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-165 PDF Video Presentation
    • @inproceedings{Wang2024dec2,
    • author = {Wang, Ye and Nakai, Tsunato and Liu, Jing and Koike-Akino, Toshiaki and Oonishi, Kento and Higashi, Takuya},
    • title = {{MEL-PETs Joint-Context Attack for the NeurIPS 2024 LLM Privacy Challenge Red Team Track}},
    • booktitle = {LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-165}
    • }
  •  Ick, C., Wichern, G., Masuyama, Y., Germain, F.G., Le Roux, J., "Spatially-Aware Losses for Enhanced Neural Acoustic Fields", NeurIPS 2024 Audio Imagination Workshop, December 2024.
    BibTeX TR2024-169 PDF
    • @inproceedings{Ick2024dec,
    • author = {Ick, Christopher and Wichern, Gordon and Masuyama, Yoshiki and Germain, François G and {Le Roux}, Jonathan},
    • title = {{Spatially-Aware Losses for Enhanced Neural Acoustic Fields}},
    • booktitle = {NeurIPS 2024 Audio Imagination Workshop},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-169}
    • }
  •  Rashid, M.R.U., Liu, J., Koike-Akino, T., Mehnaz, S., Wang, Y., "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage", Red Teaming GenAI Workshop at Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-168 PDF
    • @inproceedings{Rashid2024dec,
    • author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Mehnaz, Shagufta and Wang, Ye},
    • title = {{Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage}},
    • booktitle = {Red Teaming GenAI Workshop at Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • publisher = {OpenReview},
    • url = {https://www.merl.com/publications/TR2024-168}
    • }
  •  Ryo, H., Rashid, M.R.U., Lewis, A., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Smoothed Embeddings for Robust Language Models", Safe Generative AI Workshop at Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-170 PDF Presentation
    • @inproceedings{Ryo2024dec,
    • author = {Ryo, Hase and Rashid, Md Rafi Ur and Lewis, Ashley and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Smoothed Embeddings for Robust Language Models}},
    • booktitle = {Safe Generative AI Workshop at Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • publisher = {OpenReview},
    • url = {https://www.merl.com/publications/TR2024-170}
    • }
  •  Berntorp, K., Greiff, M., "A Framework for Joint Vehicle Localization and Road Mapping Using Onboard Sensors", Control Engineering Practice, November 2024.
    BibTeX TR2024-163 PDF
    • @article{Berntorp2024nov,
    • author = {Berntorp, Karl and Greiff, Marcus},
    • title = {{A Framework for Joint Vehicle Localization and Road Mapping Using Onboard Sensors}},
    • journal = {Control Engineering Practice},
    • year = 2024,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2024-163}
    • }
  •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models", British Machine Vision Conference (BMVC), November 2024.
    BibTeX TR2024-156 PDF Presentation
    • @inproceedings{Chen2024nov,
    • author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki},
    • title = {{SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models}},
    • booktitle = {British Machine Vision Conference (BMVC)},
    • year = 2024,
    • month = nov,
    • publisher = {British Machine Vision Association},
    • url = {https://www.merl.com/publications/TR2024-156}
    • }
  •  Yataka, R., Cardace, A., Wang, P., Boufounos, P.T., Takahashi, R., "RETR: Multi-View Radar Detection Transformer for Indoor Perception", Advances in Neural Information Processing Systems (NeurIPS), A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang, Eds., November 2024, pp. 19839-19869.
    BibTeX TR2024-159 PDF Software
    • @inproceedings{Yataka2024nov3,
    • author = {Yataka, Ryoma and Cardace, Adriano and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
    • title = {{RETR: Multi-View Radar Detection Transformer for Indoor Perception}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
    • pages = {19839--19869},
    • month = nov,
    • publisher = {Curran Associates, Inc.},
    • url = {https://www.merl.com/publications/TR2024-159}
    • }
  •  Cherian, A., Peng, K.-C., Lohit, S., Matthiesen, J., Smith, K., Tenenbaum, J.B., "Evaluating Large Vision-and-Language Models on Children’s Mathematical Olympiads", Advances in Neural Information Processing Systems (NeurIPS), November 2024.
    BibTeX TR2024-160 PDF Video Presentation
    • @inproceedings{Cherian2024nov,
    • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Matthiesen, Joanna and Smith, Kevin and Tenenbaum, Joshua B.},
    • title = {{Evaluating Large Vision-and-Language Models on Children’s Mathematical Olympiads}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2024-160}
    • }
  •  Xiang, X., Palash, R., Yagyu, E., Dunham, S., Teo, K.H., Chowdhury, N., "AI-assisted Field Plate Design of GaN HEMT Device", Advanced Theory and Simulation, DOI: 10.1002/​adts.202400347, October 2024.
    BibTeX TR2024-152 PDF
    • @article{Xiang2024oct,
    • author = {Xiang, Xiaofeng and Palash, Rafid and Yagyu, Eiji and Dunham, Scott and Teo, Koon Hoo and Chowdhury, Nadim},
    • title = {{AI-assisted Field Plate Design of GaN HEMT Device}},
    • journal = {Advanced Theory and Simulation},
    • year = 2024,
    • month = oct,
    • doi = {10.1002/adts.202400347},
    • url = {https://www.merl.com/publications/TR2024-152}
    • }
  •  Sholokhov, A., Nabi, S., Rapp, J., Brunton, S., Kutz, N., Boufounos, P.T., Mansour, H., "Single-pixel imaging of spatio-temporal flows using differentiable latent dynamics", IEEE Transactions on Computational Imaging, DOI: 10.1109/​TCI.2024.3434541, Vol. 10, pp. 1124-1138, October 2024.
    BibTeX TR2024-151 PDF
    • @article{Sholokhov2024oct,
    • author = {Sholokhov, Aleksei and Nabi, Saleh and Rapp, Joshua and Brunton, Steven and Kutz, Nathan and Boufounos, Petros T. and Mansour, Hassan},
    • title = {{Single-pixel imaging of spatio-temporal flows using differentiable latent dynamics}},
    • journal = {IEEE Transactions on Computational Imaging},
    • year = 2024,
    • volume = 10,
    • pages = {1124--1138},
    • month = oct,
    • doi = {10.1109/TCI.2024.3434541},
    • url = {https://www.merl.com/publications/TR2024-151}
    • }
  •  Li, Z., Lowy, A., Liu, J., Koike-Akino, T., Parsons, K., Malin, B., Wang, Y., "Analyzing Inference Privacy Risks Through Gradients In Machine Learning", ACM Conference on Computer and Communications Security (CCS), DOI: 10.1145/​3658644.3690304, October 2024, pp. 3466-3480.
    BibTeX TR2024-141 PDF
    • @inproceedings{Li2024oct,
    • author = {Li, Zhuohang and Lowy, Andrew and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Malin, Bradley and Wang, Ye},
    • title = {{Analyzing Inference Privacy Risks Through Gradients In Machine Learning}},
    • booktitle = {Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security},
    • year = 2024,
    • pages = {3466--3480},
    • month = oct,
    • publisher = {Association for Computing Machinery},
    • doi = {10.1145/3658644.3690304},
    • isbn = {9798400706363},
    • url = {https://www.merl.com/publications/TR2024-141}
    • }
  •  Dalla Libera, A., Turcato, N., Giacomuzzo, G., Carli, R., Romeres, D., "Learning control of underactuated double pendulum with Model-Based Reinforcement Learning", Competition: AI Olympics With RealAIGym, October 2024.
    BibTeX TR2024-142 PDF
    • @inproceedings{DallaLibera2024oct,
    • author = {Dalla Libera, Alberto and Turcato, Niccolò and Giacomuzzo, Giulio and Carli, Ruggero and Romeres, Diego},
    • title = {{Learning control of underactuated double pendulum with Model-Based Reinforcement Learning}},
    • booktitle = {Competition: AI Olympics With RealAIGym},
    • year = 2024,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2024-142}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Kojima, K., Koike-Akino, T., "Photonics × Machine Learning", FIOLS, September 2024.
    BibTeX TR2024-154 PDF
    • @inproceedings{Kojima2024sep,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki},
    • title = {{Photonics × Machine Learning}},
    • booktitle = {FIOLS},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-154}
    • }
  •  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), Leonardis, A. and Ricci, E. and Roth, S. and Russakovsky, O. and Sattler, T. and Varol, G., Eds., DOI: 10.1007/​978-3-031-73347-5_27, September 2024, pp. 475-491.
    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,
    • editor = {Leonardis, A. and Ricci, E. and Roth, S. and Russakovsky, O. and Sattler, T. and Varol, G.},
    • pages = {475--491},
    • month = sep,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-73347-5_27},
    • issn = {0302-9743},
    • isbn = {978-3-031-73346-8},
    • url = {https://www.merl.com/publications/TR2024-130}
    • }