Fan Bao
19 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
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(21)
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(10)
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Dynamic Duo
(17)
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Triple Crown
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Prolific Year
(5)
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(6)
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Trend Setter
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Keyword Collector
(63)
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Century Club
(19)
Conferences
NIPS (8)
ICLR (5)
ICML (5)
CVPR (1)
Top co-authors
Keywords
diffusion model
(6)
image generation
(4)
generative model
(4)
score matching
(3)
latent variable model
(2)
text-to-image generation
(2)
ode solver
(2)
stochastic differential equation
(2)
variational inference
(2)
diffusion probabilistic model
(2)
image-to-image translation
(2)
energy-based model
(2)
sampling speedup
(2)
covariance estimation
(1)
logistic regression
(1)
pseudo labeling
(1)
conditional generation
(1)
transfer learning
(1)
vision transformer
(1)
multi-modal learning
(1)
Papers
Elucidating the Preconditioning in Consistency Distillation
ICLR 2025
Diffusion Bridge Implicit Models
ICLR 2025
Consistency Diffusion Bridge Models
NIPS 2024
Gaussian Mixture Solvers for Diffusion Models
NIPS 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
NIPS 2023
All Are Worth Words: A ViT Backbone for Diffusion Models
CVPR 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
ICML 2023
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
ICLR 2023
Equivariant Energy-Guided SDE for Inverse Molecular Design
ICLR 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
ICML 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
NIPS 2023
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
ICLR 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
NIPS 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
NIPS 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
ICML 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
ICML 2022
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
NIPS 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
ICML 2021
Bi-level Score Matching for Learning Energy-based Latent Variable Models
NIPS 2020