Fan Bao

According to our database1, Fan Bao authored at least 24 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
CoRR, 2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
CoRR, 2022

Equivariant Energy-Guided SDE for Inverse Molecular Design.
CoRR, 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models.
CoRR, 2022

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
CoRR, 2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.
CoRR, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
CoRR, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
CoRR, 2022

Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.
Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
Proceedings of the International Conference on Machine Learning, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Boosting Generative Models by Leveraging Cascaded Meta-Models.
CoRR, 2019

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR, 2019

2016
Computational network design from functional specifications.
ACM Trans. Graph., 2016

2015
Computational Network Design from Functional Specifications.
CoRR, 2015

2014
Generating and Exploring Design Variations for Architectural and Urban Layouts.
PhD thesis, 2014

2013
Generating and exploring good building layouts.
ACM Trans. Graph., 2013

Procedural facade variations from a single layout.
ACM Trans. Graph., 2013

2011
Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars.
IEEE Trans. Vis. Comput. Graph., 2011

2007
3D Head Reconstruction and Color Visualization of Chinese Visible Human.
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007


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