Fan Bao
19 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(14)
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Dynamic Duo
(17)
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Triple Crown
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(80)
Venues
Top co-authors
Research topics
Deep Learning
(17)
Models
(17)
Machine Learning
(13)
Optimization & Theory Β· Machine Learning
(11)
Computer Vision
(7)
Generation
(6)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Application Areas
(1)
Domain-Specific
(1)
Techniques
(1)
Keywords
diffusion model
(8)
generative model
(5)
image generation
(4)
energy function
(3)
stochastic differential equation
(3)
score matching
(3)
diffusion probabilistic model
(3)
sampling speedup
(2)
ode solver
(2)
neural network
(2)
energy-based model
(2)
variational inference
(2)
sampling method
(2)
text-to-image generation
(2)
latent variable model
(2)
image-to-image translation
(2)
ordinary differential equation
(2)
pseudo labeling
(1)
logistic regression
(1)
image translation
(1)
Papers
Diffusion Bridge Implicit Models
ICLR 2025
Elucidating the Preconditioning in Consistency Distillation
ICLR 2025
Consistency Diffusion Bridge Models
NeurIPS 2024
All Are Worth Words: A ViT Backbone for Diffusion Models
CVPR 2023
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
ICLR 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
NeurIPS 2023
Equivariant Energy-Guided SDE for Inverse Molecular Design
ICLR 2023
Gaussian Mixture Solvers for Diffusion Models
NeurIPS 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
ICML 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
NeurIPS 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
ICML 2023
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
ICLR 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
NeurIPS 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
NeurIPS 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
NeurIPS 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
NeurIPS 2020