Publications

353 / 3,993 publications found.


  •  Ryo, H., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., Hato, J., "Evaluating Security Policy Compliance in Infrastructure as Code Generated by Large Language Models", International Symposium on Digital Forensics and Security, March 2026.
    BibTeX TR2026-036 PDF
    • @inproceedings{Ryo2026mar,
    • author = {Ryo, Hase and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran and Hato, Jumpei},
    • title = {{Evaluating Security Policy Compliance in Infrastructure as Code Generated by Large Language Models}},
    • booktitle = {International Symposium on Digital Forensics and Security},
    • year = 2026,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2026-036}
    • }
  •  Koike-Akino, T., Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., "LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention", AAAI Conference on Artificial Intelligence, Sven Koenig, Chad Jenkins, Matthew E. Taylor, Eds., DOI: 10.1609/​aaai.v40i27.39425, March 2026, vol. 40, pp. 22644-22652.
    BibTeX TR2026-018 PDF Video Presentation
    • @inproceedings{Koike-Akino2026jan,
    • author = {{{Koike-Akino, Toshiaki and Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew}}},
    • title = {{{LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention}}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2026,
    • editor = {Sven Koenig, Chad Jenkins, Matthew E. Taylor},
    • volume = 40,
    • number = 27,
    • pages = {22644--22652},
    • month = jan,
    • publisher = {AAAI Press},
    • doi = {10.1609/aaai.v40i27.39425},
    • issn = {2374-3468},
    • isbn = {978-1-57735-906-7},
    • url = {https://www.merl.com/publications/TR2026-018}
    • }
  •  Khattar, V., Rashid, M.R.U., Choudhury, M., Liu, J., Koike-Akino, T., Jin, M., Wang, Y., "Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities", arXiv, March 2026.
    BibTeX arXiv
    • @article{Khattar2026mar,
    • author = {{Khattar, Vanshaj and Rashid, Md Rafi Ur and Choudhury, Moumita and Liu, Jing and Koike-Akino, Toshiaki and Jin, Ming and Wang, Ye}},
    • title = {{Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.15417}
    • }
  •  Wang, Y., Liu, J., Koike-Akino, T., "Directional Embedding Smoothing for Robust Vision Language Models", arXiv, March 2026.
    BibTeX arXiv
    • @article{Wang2026mar2,
    • author = {{Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
    • title = {{Directional Embedding Smoothing for Robust Vision Language Models}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.15259}
    • }
  •  Yamamoto, T., Sakamoto, Y., Sun, S., Koike-Akino, T., Wang, Y., Wang, B., "Presentation of Team MELSUR's Achievements in the COMPUMAG 2025 Galileo Ferraris Contest", IEEJ, March 2026.
    BibTeX
    • @inproceedings{Yamamoto2026mar,
    • author = {Yamamoto, Tatsuya and Sakamoto, Yusuke and Sun, Siyuan and Koike-Akino, Toshiaki and Wang, Ye and Wang, Bingnan},
    • title = {{Presentation of Team MELSUR's Achievements in the COMPUMAG 2025 Galileo Ferraris Contest}},
    • booktitle = {IEEJ},
    • year = 2026,
    • month = mar
    • }
  •  Koike-Akino, T., Liu, J., Wang, Y., "TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly", arXiv, March 2026.
    BibTeX arXiv
    • @article{Koike-Akino2026mar,
    • author = {Koike-Akino, Toshiaki and Liu, Jing and Wang, Ye},
    • title = {{TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.19296}
    • }
  •  Sohail, M.A., Koike-Akino, T., "Geo-ADAPT-VQE: Quantum Information Metric-Aware Circuit Optimization for Quantum Chemistry Mohammad Aamir Sohail, Toshiaki Koike-Akino", arXiv, March 2026.
    BibTeX arXiv
    • @article{Sohail2026mar,
    • author = {Sohail, Mohammad A and Koike-Akino, Toshiaki},
    • title = {{Geo-ADAPT-VQE: Quantum Information Metric-Aware Circuit Optimization for Quantum Chemistry Mohammad Aamir Sohail, Toshiaki Koike-Akino}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.10325}
    • }
  •  Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Azizan, N., Laughman, C.R., Chakrabarty, A., "Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models", Energy and Buildings, March 2026.
    BibTeX TR2026-030 PDF
    • @article{Park2026mar,
    • author = {Park, Young-Jin and Germain, François G and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Wichern, Gordon and Azizan, Navid and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models}},
    • journal = {Energy and Buildings},
    • year = 2026,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2026-030}
    • }
  •  Suzuki, K., Liu, J., Wang, Y., Hori, C., Brand, M., Romeres, D., Koike-Akino, T., "Embedding Morphology into Transformers for Cross-Robot Policy Learning", arXiv, February 2026.
    BibTeX arXiv
    • @article{Suzuki2026feb,
    • author = {{Suzuki, Kei and Liu, Jing and Wang, Ye and Hori, Chiori and Brand, Matthew and Romeres, Diego and Koike-Akino, Toshiaki}},
    • title = {{Embedding Morphology into Transformers for Cross-Robot Policy Learning}},
    • journal = {arXiv},
    • year = 2026,
    • month = feb,
    • url = {https://arxiv.org/abs/2603.00182}
    • }
  •  Kuwabara, A., Kato, S., Koike-Akino, T., Fujihashi, T., "Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.DOI Range Image-Based Implicit Neural Compression for LiDAR Point Clouds", IEEE Access, February 2026.
    BibTeX TR2026-023 PDF
    • @article{Kuwabara2026feb,
    • author = {Kuwabara, Akihiro and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
    • title = {{Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.DOI Range Image-Based Implicit Neural Compression for LiDAR Point Clouds}},
    • journal = {IEEE Access},
    • year = 2026,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2026-023}
    • }
  •  Khattar, V., Choudhury, M., Rashid, M.R.U., Liu, J., Koike-Akino, T., Jin, M., Wang, Y., "Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities", AAAI Workshop on Trust and Control in Agentic AI, January 2026.
    BibTeX TR2026-020 PDF
    • @inproceedings{Khattar2026jan,
    • author = {Khattar, Vanshaj and Choudhury, Moumita and Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Jin, Ming and Wang, Ye},
    • title = {{Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities}},
    • booktitle = {AAAI Workshop on Trust and Control in Agentic AI},
    • year = 2026,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2026-020}
    • }
  •  Fujihashi, T., Koike-Akino, T., "Quantum Implicit Neural Compression", Springer Nature, DOI: 10.1007/​978-3-032-15931-1, Vol. 2813, pp. 60-69, January 2026.
    BibTeX TR2026-022 PDF
    • @article{Fujihashi2026jan,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki},
    • title = {{Quantum Implicit Neural Compression}},
    • journal = {Springer Nature},
    • year = 2026,
    • volume = 2813,
    • pages = {60--69},
    • month = jan,
    • doi = {10.1007/978-3-032-15931-1},
    • issn = {1865-0937},
    • isbn = {978-3-032-15931-1},
    • url = {https://www.merl.com/publications/TR2026-022}
    • }
  •  Taguchi, M., Koike-Akino, T., Kojima, K., "Polarization-Based Data Reuploading", The IEEE Photonics Conference (IPC), December 2025.
    BibTeX TR2026-021 PDF
    • @inproceedings{Taguchi2025dec,
    • author = {Taguchi, Mari and Koike-Akino, Toshiaki and Kojima, Keisuke},
    • title = {{Polarization-Based Data Reuploading}},
    • booktitle = {The IEEE Photonics Conference (IPC)},
    • year = 2025,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2026-021}
    • }
  •  Fujihashi, T., Kuwabara, A., Koike-Akino, T., "QKAN-GS: Quantum-Empowered 3D Gaussian Splatting", ACM Multimedia Workshop, DOI: 10.1145/​3728486.375921, October 2025, pp. 51-55.
    BibTeX TR2025-156 PDF
    • @inproceedings{Fujihashi2025oct,
    • author = {Fujihashi, Takuya and Kuwabara, Akihiro and Koike-Akino, Toshiaki},
    • title = {{QKAN-GS: Quantum-Empowered 3D Gaussian Splatting}},
    • booktitle = {ACM Multimedia Workshop},
    • year = 2025,
    • pages = {51--55},
    • month = oct,
    • publisher = {ACM},
    • doi = {10.1145/3728486.375921},
    • url = {https://www.merl.com/publications/TR2025-156}
    • }
  •  Kuwabara, A., Kirihara, H., Kato, S., Koike-Akino, T., Fujihashi, T., "L-GGSC: Learnable Graph-based Gaussian Splatting Compression", IEEE International Conference on Computer Vision Workshops (ICCV), October 2025.
    BibTeX TR2025-148 PDF
    • @inproceedings{Kuwabara2025oct,
    • author = {Kuwabara, Akihiro and Kirihara, Hinata and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
    • title = {{L-GGSC: Learnable Graph-based Gaussian Splatting Compression}},
    • booktitle = {IEEE International Conference on Computer Vision Workshops (ICCV)},
    • year = 2025,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2025-148}
    • }
  •  Lewis, A., White, M., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in Product QA Agents", ACL 2025 workshop on Generation, Evaluation & Metrics (GEM), Ofir Arviv, Miruna Clinciu, Kaustubh Dhole, Rotem Dror, Sebastian Gehrmann, Eliya Habba, Itay Itzhak, Simon Mille, Yotam Perlitz, Enrico Santus, João Sedoc, Michal Shmueli Scheuer, Gabriel Stanovsky, Oyvind Tafjord, Eds., July 2025, pp. 705-727.
    BibTeX TR2025-114 PDF
    • @inproceedings{Lewis2025jul2,
    • author = {Lewis, Ashley and White, Michael and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in Product QA Agents}},
    • booktitle = {ACL 2025 workshop on Generation, Evaluation \& Metrics (GEM)},
    • year = 2025,
    • editor = {Ofir Arviv, Miruna Clinciu, Kaustubh Dhole, Rotem Dror, Sebastian Gehrmann, Eliya Habba, Itay Itzhak, Simon Mille, Yotam Perlitz, Enrico Santus, João Sedoc, Michal Shmueli Scheuer, Gabriel Stanovsky, Oyvind Tafjord},
    • pages = {705--727},
    • month = jul,
    • publisher = {Association for Computational Linguistics},
    • isbn = {979-8-89176-261-9},
    • url = {https://www.merl.com/publications/TR2025-114}
    • }
  •  Kuwabara, A., Kato, S., Koike-Akino, T., Fujihashi, T., "SCC-Aided INR for High-Frequency Detail Preservation in LiDAR", IEEE Open Journal of the Communications Society (OJCOMS), DOI: 10.1109/​OJCOMS.2025.3594545, Vol. 6, pp. 6352-6367, July 2025.
    BibTeX TR2025-129 PDF
    • @article{Kuwabara2025sep,
    • author = {Kuwabara, Akihiro and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
    • title = {{SCC-Aided INR for High-Frequency Detail Preservation in LiDAR}},
    • journal = {IEEE Open Journal of the Communications Society (OJCOMS)},
    • year = 2025,
    • volume = 6,
    • pages = {6352--6367},
    • month = sep,
    • doi = {10.1109/OJCOMS.2025.3594545},
    • issn = {2644-125X},
    • url = {https://www.merl.com/publications/TR2025-129}
    • }
  •  Kojima, K., Koike-Akino, T., "Photonics × Machine Learning", IEEE Photonics Society Summer Topicals Meeting, DOI: 10.1109/​SUM65312.2025.11121763, July 2025.
    BibTeX TR2025-110 PDF
    • @inproceedings{Kojima2025jul,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki},
    • title = {{Photonics × Machine Learning}},
    • booktitle = {IEEE Photonics Society Summer Topicals Meeting},
    • year = 2025,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/SUM65312.2025.11121763},
    • issn = {2376-8614},
    • isbn = {979-8-3315-0903-3},
    • url = {https://www.merl.com/publications/TR2025-110}
    • }
  •  Liu, J., Koike-Akino, T., Wang, Y., Mansour, H., Brand, M., "AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent", International Conference on Machine Learning (ICML) workshop, July 2025.
    BibTeX TR2025-111 PDF Presentation
    • @inproceedings{Liu2025jul,
    • author = {{{Liu, Jing and Koike-Akino, Toshiaki and Wang, Ye and Mansour, Hassan and Brand, Matthew}}},
    • title = {{{AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent}}},
    • booktitle = {International Conference on Machine Learning (ICML) workshop},
    • year = 2025,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2025-111}
    • }
  •  Koike-Akino, T., Liu, J., Wang, Y., "u-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts", International Conference on Machine Learning (ICML) Workshop, July 2025.
    BibTeX TR2025-112 PDF Presentation
    • @inproceedings{Koike-Akino2025jul,
    • author = {{{Koike-Akino, Toshiaki and Liu, Jing and Wang, Ye}}},
    • title = {{{u-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts}}},
    • booktitle = {International Conference on Machine Learning (ICML) Workshop},
    • year = 2025,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2025-112}
    • }
  •  Liu, J., Koike-Akino, T., Wang, P., Brand, M., Parsons, K., Wang, Y., "LoDA: Low-Dimensional Adaptation of Large Language Models" in Enhancing LLM Performance Efficacy, Fine-Tuning, and Inference Techniques, Passban, P. and Way, A. and Rezagholizadeh, M., Eds., DOI: 10.1007/​978-3-031-85747-8_5, pp. 67-81, Springer, July 2025.
    BibTeX TR2025-130 PDF
    • @incollection{Liu2025sep,
    • author = {Liu, Jing and Koike-Akino, Toshiaki and Wang, Pu and Brand, Matthew and Parsons, Kieran and Wang, Ye},
    • title = {{LoDA: Low-Dimensional Adaptation of Large Language Models}},
    • booktitle = {Enhancing LLM Performance Efficacy, Fine-Tuning, and Inference Techniques},
    • year = 2025,
    • editor = {Passban, P. and Way, A. and Rezagholizadeh, M.},
    • pages = {67--81},
    • month = sep,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-85747-8_5},
    • isbn = {978-3-031-85746-1},
    • url = {https://www.merl.com/publications/TR2025-130}
    • }
  •  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", ICAD, DOI: 10.1109/​ICAD65464.2025.11114033, June 2025.
    BibTeX TR2025-095 PDF Presentation
    • @inproceedings{Wang2025jun2,
    • author = {{{Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}}},
    • title = {{{Quantum Diffusion Models for Few-Shot Learning}}},
    • booktitle = {ICAD},
    • year = 2025,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/ICAD65464.2025.11114033},
    • isbn = {979-8-3315-2472-2},
    • url = {https://www.merl.com/publications/TR2025-095}
    • }
  •  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}
    • }
  •  Koike-Akino, T., Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., "LatentLLM: Attention-Aware Joint Tensor Compression", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2025.
    BibTeX TR2025-075 PDF Presentation
    • @inproceedings{Koike-Akino2025jun,
    • author = {{{Koike-Akino, Toshiaki and Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew}}},
    • title = {{{LatentLLM: Attention-Aware Joint Tensor Compression}}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-075}
    • }
  •  Chen, X., Liu, J., Wang, Y., Brand, M., Wang, P., Koike-Akino, T., "TuneComp: Joint Fine-Tuning and Compression for Large Foundation Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) workshop on Efficient and On-Device Generation, June 2025.
    BibTeX TR2025-079 PDF Presentation
    • @inproceedings{Chen2025jun,
    • author = {{{Chen, Xiangyu and Liu, Jing and Wang, Ye and Brand, Matthew and Wang, Pu and Koike-Akino, Toshiaki}}},
    • title = {{{TuneComp: Joint Fine-Tuning and Compression for Large Foundation Models}}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) workshop on Efficient and On-Device Generation},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-079}
    • }