Toshimitsu Uesaka
9 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (12) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
ICLR (4)
ICML (3)
INTERSPEECH (1)
NIPS (1)
Top co-authors
Keywords
diffusion model
(4)
generative model
(3)
image restoration
(1)
knowledge distillation
(1)
posterior sampling
(1)
speech enhancement
(1)
vector quantization
(1)
likelihood estimation
(1)
score matching
(1)
gibbs sampler
(1)
inverse problem
(1)
variational autoencoder
(1)
perceptual quality
(1)
latent diffusion
(1)
fokker-planck equation
(1)
one-step generation
(1)
discrete representation
(1)
score-based diffusion
(1)
blind restoration
(1)
stochastic quantization
(1)
Papers
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
Manifold Preserving Guided Diffusion
ICLR 2024
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
ICLR 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
ICML 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
ICML 2023
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
INTERSPEECH 2023
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
ICML 2022