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, ... arXiv preprint arXiv:2310.02279, 2023 | 90 | 2023 |
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, ... arXiv preprint arXiv:2205.07547, 2022 | 54 | 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, 25501-25522, 2023 | 36 | 2023 |
Manifold preserving guided diffusion Y He, N Murata, CH Lai, Y Takida, T Uesaka, D Kim, WH Liao, Y Mitsufuji, ... arXiv preprint arXiv:2311.16424, 2023 | 23 | 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, 18365-18398, 2023 | 22 | 2023 |
Unsupervised vocal dereverberation with diffusion-based generative models K Saito, N Murata, T Uesaka, CH Lai, Y Takida, T Fukui, Y Mitsufuji ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 22 | 2023 |
Preventing posterior collapse induced by oversmoothing in gaussian VAE Y Takida, WH Liao, T Uesaka, S Takahashi, Y Mitsufuji arXiv preprint arXiv:2102.08663 3 (5), 6, 2021 | 17 | 2021 |
Diffroll: Diffusion-based generative music transcription with unsupervised pretraining capability KW Cheuk, R Sawata, T Uesaka, N Murata, N Takahashi, S Takahashi, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 16 | 2023 |
Multi-view learning over retinal thickness and visual sensitivity on glaucomatous eyes T Uesaka, K Morino, H Sugiura, T Kiwaki, H Murata, R Asaoka, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 12 | 2017 |
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 | 11 | 2022 |
Regularizing score-based models with score fokker-planck equations CH Lai, Y Takida, N Murata, T Uesaka, Y Mitsufuji, S Ermon NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 11 | 2022 |
A versatile diffusion-based generative refiner for speech enhancement R Sawata, N Murata, Y Takida, T Uesaka, T Shibuya, S Takahashi, ... arXiv preprint arXiv:2210.17287, 2022 | 9 | 2022 |
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 arXiv preprint arXiv:2306.00367, 2023 | 8 | 2023 |
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 | 7 | 2023 |
SAN: Inducing metrizability of GAN with discriminative normalized linear layer Y Takida, M Imaizumi, T Shibuya, CH Lai, T Uesaka, N Murata, Y Mitsufuji arXiv preprint arXiv:2301.12811, 2023 | 7 | 2023 |
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement R Sawata, N Murata, Y Takida, T Uesaka, T Shibuya, S Takahashi, ... arXiv preprint arXiv:2210.17287, 2022 | 7 | 2022 |
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher D Kim, CH Lai, WH Liao, Y Takida, N Murata, T Uesaka, Y Mitsufuji, ... arXiv preprint arXiv:2405.14822, 2024 | 3 | 2024 |
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 arXiv preprint arXiv:2210.04296, 2023 | 2 | 2023 |
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation YJ Luo, KW Cheuk, W Choi, T Uesaka, K Toyama, K Saito, CH Lai, ... arXiv preprint arXiv:2408.10807, 2024 | 1 | 2024 |
Mitigating Embedding Collapse in Diffusion Models for Categorical Data B Nguyen, Y Takida, N Murata, T Uesaka, S Ermon, Y Mitsufuji arXiv preprint arXiv:2410.14758, 2024 | | 2024 |