 How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral FrameworkInternational Conference on Learning Representations (ICLR), 2024 |
 Evaluating the design space of diffusion-based generative modelsNeural Information Processing Systems (NeurIPS), 2024 |
 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time ComplexityNeural Information Processing Systems (NeurIPS), 2024 |
 Cryptographic Hardness of Score EstimationNeural Information Processing Systems (NeurIPS), 2024 |
 Diffusion Posterior Sampling is Computationally IntractableInternational Conference on Machine Learning (ICML), 2024 |
 A Survey on Statistical Theory of Deep Learning: Approximation, Training
Dynamics, and Generative ModelsAnnual Review of Statistics and Its Application (ARSIA), 2024 |
 Improved Sample Complexity Bounds for Diffusion Model TrainingNeural Information Processing Systems (NeurIPS), 2023 |
