conftrace_

score matching

97 papers

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Also known as

SM

Co-occurring keywords

diffusion model (3751) generative model (2892) variational inference (2069) density estimation (398) energy-based model (251) denoising score matching (19) maximum likelihood (255) stochastic differential equation (181) exponential family (124) parameter estimation (274)

Papers

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026
Rethinking Flow and Diffusion Bridge Models for Speech Enhancement AAAI 2026
Autoregressive Denoising Score Matching is a Good Video Anomaly Detector ICCV 2025
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency WACV 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025
Supervised Score-Based Modeling by Gradient Boosting AAAI 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning ICCV 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025
Optimal score estimation via empirical Bayes smoothing COLT 2024
Evaluating the design space of diffusion-based generative models NIPS 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024
Is Score Matching Suitable for Estimating Point Processes? NIPS 2024
Hamiltonian Score Matching and Generative Flows NIPS 2024
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching NIPS 2024
Generative Fractional Diffusion Models NIPS 2024
Conditioning non-linear and infinite-dimensional diffusion processes NIPS 2024
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution AAAI 2024
One-Step Diffusion Distillation through Score Implicit Matching NIPS 2024
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NIPS 2023
Scaling Riemannian Diffusion Models NIPS 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023