| Robust subspace recovery layer for unsupervised anomaly detection CH Lai, D Zou, G Lerman International Conference on Learning Representations 2020, 2019 | 66 | 2019 |
| Sq-vae: Variational bayes on discrete representation with self-annealed stochastic quantization Y Takida, T Shibuya, WH Liao, CH Lai, J Ohmura, T Uesaka, N Murata, ... International Conference on Machine Learning, 2022, 2022 | 32 | 2022 |
| GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration N Murata, K Saito, CH Lai, Y Takida, T Uesaka, Y Mitsufuji, S Ermon International Conference on Machine Learning (Oral), 2023, 2023 | 24 | 2023 |
| FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation CH Lai, Y Takida, N Murata, T Uesaka, Y Mitsufuji, S Ermon International Conference on Machine Learning, 2023, 2022 | 23* | 2022 |
| Consistency trajectory models: Learning probability flow ode trajectory of diffusion D Kim, CH Lai, WH Liao, N Murata, Y Takida, T Uesaka, Y He, Y Mitsufuji, ... International Conference on Learning Representations, 2024, 2023 | 16 | 2023 |
| Unsupervised vocal dereverberation with diffusion-based generative models K Saito, N Murata, T Uesaka, CH Lai, Y Takida, T Fukui, Y Mitsufuji ICASSP 2023 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 16 | 2023 |
| Inverse problems, deep learning, and symmetry breaking K Tayal, CH Lai, V Kumar, J Sun International Conference on Machine Learning 2020 workshop on ML …, 2020 | 16 | 2020 |
| Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection CH Lai, D Zou, G Lerman International Conference on Artificial Intelligence and Statistics, 2023 …, 2023 | 11* | 2023 |
| The sound demixing challenge 2023–music demixing track G Fabbro, S Uhlich, CH Lai, W Choi, M Martínez-Ramírez, W Liao, ... Ubiquity Press 7 (1), 2024 | 9 | 2024 |
| Unlocking inverse problems using deep learning: Breaking symmetries in phase retrieval K Tayal, CH Lai, R Manekar, Z Zhuang, V Kumar, J Sun NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 9 | 2020 |
| Preventing oversmoothing in VAE via generalized variance parameterization Y Takida, WH Liao, CH Lai, T Uesaka, S Takahashi, Y Mitsufuji Neurocomputing 509, 137-156, 2022 | 8 | 2022 |
| Manifold Preserving Guided Diffusion Y He, N Murata, CH Lai, Y Takida, T Uesaka, D Kim, WH Liao, Y Mitsufuji, ... International Conference on Learning Representations, 2024, 2023 | 6 | 2023 |
| On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization CH Lai, Y Takida, T Uesaka, N Murata, Y Mitsufuji, S Ermon International Conference on Machine Learning 2023 Workshop SPIGM, 2023 | 4 | 2023 |
| SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer YM Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai ... International Conference on Learning Representations, 2024, 2023 | 3* | 2023 |
| Vrdmg: Vocal restoration via diffusion posterior sampling with multiple guidance C Hernandez-Olivan, K Saito, N Murata, CH Lai, MA Martínez-Ramirez, ... ICASSP 2024 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 2 | 2023 |
| Breaking symmetries in data-driven phase retrieval R Manekar, K Tayal, Z Zhuang, CH Lai, V Kumar, J Sun Computational Optical Sensing and Imaging, CTh4A. 4, 2021 | 2 | 2021 |
| HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes Y Takida, Y Ikemiya, T Shibuya, K Shimada, W Choi, CH Lai, N Murata, ... arXiv preprint arXiv:2401.00365, 2023 | | 2023 |
| On the Language Encoder of Contrastive Cross-modal Models M Zhao, J Ono, Z Zhong, CH Lai, Y Takida, N Murata, WH Liao, T Shibuya, ... arXiv preprint arXiv:2310.13267, 2023 | | 2023 |
| The Sound Demixing Challenge 2023$\unicode {x2013} $ Music Demixing Track G Fabbro, S Uhlich, CH Lai, W Choi, M Martínez-Ramírez, W Liao, ... arXiv preprint arXiv:2308.06979, 2023 | | 2023 |
| Towards Learning Imperceptible Adversarial Distribution for Black-Box Attacks CH Lai, B Nguyen, WH Liao, Y Takida, N Murata, T Uesaka, Y Mitsufuji | | 2022 |
Yuki MitsufujiDistinguished Engineer, Sony; Specially Appointed Associate Professor, Tokyo Institute of TechnologyVerified email at sony.com
