Publications

326 / 3,799 publications found.


  •  Koike-Akino, T., Tonin, F., Wu, Y., Wu, F.Z., Candogan, L.N., Volkan Cevher,, "Quantum-PEFT: Ultra parameter-efficient fine-tuning", arXiv, March 2025.
    BibTeX arXiv
    • @article{Koike-Akino2025mar,
    • author = {Koike-Akino, Toshiaki and Tonin, Francesco and Wu, Yongtao and Wu, Frank Zhengqing and Candogan, Leyla Naz and Volkan Cevher},
    • title = {{Quantum-PEFT: Ultra parameter-efficient fine-tuning}},
    • journal = {arXiv},
    • year = 2025,
    • month = mar,
    • url = {https://arxiv.org/abs/2503.05431}
    • }
  •  Attiah, K., Wang, P., Mansour, H., Koike-Akino, T., Boufounos, P.T., "Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2025.
    BibTeX TR2025-026 PDF
    • @inproceedings{Attiah2025mar,
    • author = {Attiah, Kareem and Wang, Pu and Mansour, Hassan and Koike-Akino, Toshiaki and Boufounos, Petros T.},
    • title = {{Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2025,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2025-026}
    • }
  •  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", AAAI Conference on Artificial Intelligence, March 2025.
    BibTeX TR2025-025 PDF
    • @inproceedings{Wang2025mar,
    • author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki},
    • title = {{Quantum Diffusion Models for Few-Shot Learning}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2025,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2025-025}
    • }
  •  Fujihashi, T., Koike-Akino, T., "Quantum Implicit Neural Compression", AAAI Conference on Artificial Intelligence, March 2025.
    BibTeX TR2025-024 PDF
    • @inproceedings{Fujihashi2025mar,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki},
    • title = {{Quantum Implicit Neural Compression}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2025,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2025-024}
    • }
  •  Rashid, M.R.U., Liu, J., Koike-Akino, T., Wang, Y., Mehnaz, S., "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage", AAAI Conference on Artificial Intelligence, February 2025.
    BibTeX TR2025-017 PDF
    • @inproceedings{Rashid2025feb,
    • author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Wang, Ye and Mehnaz, Shagufta},
    • title = {{Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2025,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2025-017}
    • }
  •  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 QA Agents", arXiv, February 2025.
    BibTeX arXiv
    • @article{Lewis2025feb,
    • 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 QA Agents}},
    • journal = {arXiv},
    • year = 2025,
    • month = feb,
    • url = {https://www.arxiv.org/abs/2502.19545}
    • }
  •  Koike-Akino, T., Kojima, K., Taguchi, M., "Enhancement of data reuploading for photonic neural computing without nonliear optical components", SPIE Photonics West, January 2025.
    BibTeX TR2025-013 PDF
    • @inproceedings{Koike-Akino2025jan,
    • author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Taguchi, Mari},
    • title = {{Enhancement of data reuploading for photonic neural computing without nonliear optical components}},
    • booktitle = {SPIE Photonics West},
    • year = 2025,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2025-013}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Rapp, J., Mansour, H., Boufounos, P.T., Koike-Akino, T., Parsons, K., "ulti-layered Surface Estimation for Low-cost Optical Coherence Tomography", IEEE Transactions on Computational Imaging, DOI: 10.1109/​TCI.2024.3497602, Vol. 10, pp. 1706-1721, December 2024.
    BibTeX TR2024-164 PDF
    • @article{Rapp2024dec,
    • author = {Rapp, Joshua and Mansour, Hassan and Boufounos, Petros T. and Koike-Akino, Toshiaki and Parsons, Kieran},
    • title = {{ulti-layered Surface Estimation for Low-cost Optical Coherence Tomography}},
    • journal = {IEEE Transactions on Computational Imaging},
    • year = 2024,
    • volume = 10,
    • pages = {1706--1721},
    • month = dec,
    • doi = {10.1109/TCI.2024.3497602},
    • url = {https://www.merl.com/publications/TR2024-164}
    • }
  •  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}
    • }
  •  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", arXiv, November 2024.
    BibTeX arXiv
    • @article{Wang2024nov,
    • author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki},
    • title = {{Quantum Diffusion Models for Few-Shot Learning}},
    • journal = {arXiv},
    • year = 2024,
    • month = nov,
    • url = {https://arxiv.org/abs/2411.04217}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Kirihara, H., Ibuki, S., Fujihashi, T., Koike-Akino, T., Watanabe, T., "Point Cloud Geometry Compression using Parameterized Graph Fourier Transform", ACM SIGCOMM, DOI: 10.1145/​3672196.367340, August 2024, pp. 52-57.
    BibTeX TR2024-106 PDF
    • @inproceedings{Kirihara2024aug,
    • author = {Kirihara, Hinata and Ibuki, Shoichi and Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {{Point Cloud Geometry Compression using Parameterized Graph Fourier Transform}},
    • booktitle = {ACM SIGCOMM},
    • year = 2024,
    • pages = {52--57},
    • month = aug,
    • publisher = {ACM},
    • doi = {10.1145/3672196.367340},
    • url = {https://www.merl.com/publications/TR2024-106}
    • }
  •  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 Presentation
    • @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 Presentation
    • @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, DOI: 10.1109/​EMBC53108.2024.10782851, 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,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC53108.2024.10782851},
    • issn = {2694-0604},
    • isbn = {979-8-3503-7149-9},
    • url = {https://www.merl.com/publications/TR2024-103}
    • }
  •  Koike-Akino, T., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Machine Learning (ICML), July 2024.
    BibTeX TR2024-101 PDF Presentation
    • @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}
    • }