Cheng Lu

Affiliations:
  • Tsinghua University, China


According to our database1, Cheng Lu authored at least 16 papers between 2020 and 2024.

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

Timeline

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Towards Efficient and Exact Optimization of Language Model Alignment.
CoRR, 2024

Towards Efficient Exact Optimization of Language Model Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Score Regularized Policy Optimization through Diffusion Behavior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Calibrating Diffusion Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gaussian Mixture Solvers for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.
Proceedings of the International Conference on Machine Learning, 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

2021
Implicit Normalizing Flows.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation.
Proceedings of the 37th International Conference on Machine Learning, 2020


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