Toshimitsu Uesaka

39 papers A* 9A 1B 1Misc 2Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified View of Drifting and Score-Based Models.
CoRR
Chieh-Hsin Lai, Bac Nguyen, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon, Molei Tao
2026 J jnl
GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning.
CoRR
Naoki Murata, Yuhta Takida, Chieh-Hsin Lai, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2026 J jnl
Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment.
CoRR
Bac Nguyen, Yuhta Takida, Naoki Murata, Chieh-Hsin Lai, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2025 J jnl
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving.
Trans. Mach. Learn. Res.
Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2025 B conf
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion.
IJCNN
Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2025 J jnl
PAVAS: Physics-Aware Video-to-Audio Synthesis.
CoRR
Oh Hyun-Bin, Yuhta Takida, Toshimitsu Uesaka, Tae-Hyun Oh, Yuki Mitsufuji
2025 J jnl
SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator.
CoRR
Yuhta Takida, Satoshi Hayakawa, Takashi Shibuya, Masaaki Imaizumi, Naoki Murata, Bac Nguyen, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuki Mitsufuji
2025 J jnl
Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity.
CoRR
Naoki Yoshida, Satoshi Hayakawa, Yuhta Takida, Toshimitsu Uesaka, Hiromi Wakaki, Yuki Mitsufuji
2025 A* conf
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric.
ICLR
Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
2024 A* conf
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.
ICLR
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
2024 J jnl
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation.
CoRR
Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Keisuke Toyama, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, Yuki Mitsufuji
2024 J jnl
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving.
CoRR
Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2024 J jnl
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.
CoRR
Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
2024 J jnl
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.
Trans. Mach. Learn. Res.
Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
2024 A* conf
Manifold Preserving Guided Diffusion.
ICLR
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
2024 J jnl
Mitigating Embedding Collapse in Diffusion Models for Categorical Data.
CoRR
Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2024 A* conf
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.
NeurIPS
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2024 J jnl
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.
CoRR
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2024 A* conf
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer.
ICLR
Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
2024 J jnl
Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information.
CoRR
Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
2023 J jnl
Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport.
CoRR
Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
2023 J jnl
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.
CoRR
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
2023 A conf
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement.
INTERSPEECH
Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
2023 Misc conf
Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability.
ICASSP
Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji
2023 A* conf
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation.
ICML
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023 A* conf
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration.
ICML
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023 J jnl
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration.
CoRR
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023 J jnl
Manifold Preserving Guided Diffusion.
CoRR
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
2023 J jnl
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization.
CoRR
Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon
2023 Misc conf
Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models.
ICASSP
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
2022 J jnl
A Versatile Diffusion-based Generative Refiner for Speech Enhancement.
CoRR
Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
2022 J jnl
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability.
CoRR
Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji
2022 J jnl
Preventing oversmoothing in VAE via generalized variance parameterization.
Neurocomputing
Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji
2022 J jnl
Regularizing Score-based Models with Score Fokker-Planck Equations.
CoRR
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2022 A* conf
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.
ICML
Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
2022 J jnl
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.
CoRR
Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
2022 J jnl
Unsupervised vocal dereverberation with diffusion-based generative models.
CoRR
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
2021 J jnl
Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE.
CoRR
Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji
2017 A* conf
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes.
KDD
Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi