- 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}
- }
- Fujihashi, T., Koike-Akino, T., "Quantum Implicit Neural Compression", arXiv, December 2024.
BibTeX arXiv- @article{Fujihashi2024dec2,
- author = {Fujihashi, Takuya and Koike-Akino, Toshiaki}},
- title = {Quantum Implicit Neural Compression},
- journal = {arXiv},
- year = 2024,
- month = dec,
- url = {https://arxiv.org/abs/2412.19828}
- }
- 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}
- }
- 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", arXiv, August 2024.
BibTeX arXiv- @article{Rashid2024aug,
- 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},
- journal = {arXiv},
- year = 2024,
- month = aug,
- url = {https://arxiv.org/abs/2408.17354}
- }
- 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}
- }
- Kato, S., Wang, P., Koike-Akino, T., Fujihashi, T., Mansour, H., Boufounos, P.T., "Multi-Band Wi-Fi Neural Dynamic Fusion", arXiv, July 2024.
BibTeX arXiv- @article{Kato2024jul,
- author = {Kato, Sorachi and Wang, Pu and Koike-Akino, Toshiaki and Fujihashi, Takuya and Mansour, Hassan and Boufounos, Petros T.}},
- title = {Multi-Band Wi-Fi Neural Dynamic Fusion},
- journal = {arXiv},
- year = 2024,
- month = jul,
- url = {https://arxiv.org/abs/2407.12937}
- }
- Hase, R., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., "Variational Randomized Smoothing for Sample-Wise Adversarial Robustness", arXiv, July 2024.
BibTeX arXiv- @article{Hase2024jul,
- author = {Hase, Ryo and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran}},
- title = {Variational Randomized Smoothing for Sample-Wise Adversarial Robustness},
- journal = {arXiv},
- year = 2024,
- month = jul,
- url = {https://arxiv.org/abs/2407.11844}
- }
- Bimbraw, K., Wang, Y., Liu, J., Koike-Akino, T., "GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM", arXiv, July 2024.
BibTeX arXiv- @article{Bimbraw2024jul2,
- 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},
- journal = {arXiv},
- year = 2024,
- month = jul,
- url = {https://arxiv.org/abs/2407.10870}
- }
- Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPRW63382.2024.00804, June 2024, pp. 8050-8055.
BibTeX TR2024-062 PDF Presentation- @inproceedings{Chen2024jun,
- 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 for Large Vision Models},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2024,
- pages = {8050--8055},
- month = jun,
- publisher = {IEEE},
- doi = {10.1109/CVPRW63382.2024.00804},
- url = {https://www.merl.com/publications/TR2024-062}
- }