Toshimitsu Uesaka

Preventing oversmoothing in VAE via generalized variance parameterization

Yuhta Takida, Wei‐Hsiang Liao, Chieh-Hsin Lai et al. · Neurocomputing · 2022 · 17 citations · Full text

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Dongjun Kim, Chieh-Hsin Lai, Wei‐Hsiang Liao et al. · arXiv (Cornell University) · 2023 · 15 citations · Full text

Engineering, Machine Learning, Consistency Trajectory Model +16

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Yuhta Takida, Takashi Shibuya, WeiHsiang Liao et al. · arXiv (Cornell University) · 2022 · 13 citations · Full text

Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability

Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka et al. · 2023 · 13 citations

Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models

Koichi Saito, Naoki Murata, Toshimitsu Uesaka et al. · 2023 · 11 citations