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Papers
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
ICLR 2024
One-Step Diffusion Distillation through Score Implicit Matching
NeurIPS 2024
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
ICLR 2024
Optimal score estimation via empirical Bayes smoothing
COLT 2024
Particle Denoising Diffusion Sampler
ICML 2024
Reverse Diffusion Monte Carlo
ICLR 2024
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
ICLR 2024
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
ICLR 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching
AISTATS 2024
SMaRt: Improving GANs with Score Matching Regularity
ICML 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
AISTATS 2024
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
ICML 2024
To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models
UAI 2024
Training Unbiased Diffusion Models From Biased Dataset
ICLR 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
ICML 2024
Approximate Stein Classes for Truncated Density Estimation
ICML 2023
Assumption violations in causal discovery and the robustness of score matching
NeurIPS 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
NeurIPS 2023
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise
CLeaR 2023
Compositional Score Modeling for Simulation-Based Inference
ICML 2023
Contrastive Sampling Chains in Diffusion Models
NeurIPS 2023
Denoising Diffusion Samplers
ICLR 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
ICML 2023
Diffusion Models are Minimax Optimal Distribution Estimators
ICML 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation
ICML 2023