Weijian Luo

CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.

[BibT_eX]

[DOI]

CoRR, 2024

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images.

[BibT_eX]

[DOI]

CoRR, 2024

Variational Schrödinger Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness.

[BibT_eX]

[DOI]

CoRR, 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

[BibT_eX]

[DOI]

CoRR, 2023

Entropy-based Training Methods for Scalable Neural Implicit Sampler.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Knowledge Distillation of Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Robotics, 2023

Enhancing Adversarial Robustness via Score-Based Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropy-based Training Methods for Scalable Neural Implicit Samplers.

[BibT_eX]

[DOI]