"score-based generative models" Papers
15 papers found
Conference
$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Taehoon Yoon, Yunhong Min, Kyeongmin Yeo et al.
NEURIPS 2025spotlightarXiv:2506.01320
6
citations
Adversary Aware Optimization for Robust Defense
Daniel Wesego, Pedram Rooshenas
NEURIPS 2025
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
NEURIPS 2025arXiv:2505.10880
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang, Yanchen Jiang, David Parkes
NEURIPS 2025arXiv:2502.15283
2
citations
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
Hua Yu, Weiming Liu, Gui Xu et al.
CVPR 2025arXiv:2505.00998
2
citations
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Heasung Kim, Taekyun Lee, Hyeji Kim et al.
NEURIPS 2025spotlight
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
Connor Mooney, Zhongjian Wang, Jack Xin et al.
ICLR 2025arXiv:2405.16104
4
citations
Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
Lorenzo Baldassari, Josselin Garnier, Knut Solna et al.
NEURIPS 2025spotlightarXiv:2505.18276
2
citations
System-Embedded Diffusion Bridge Models
Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang et al.
NEURIPS 2025arXiv:2506.23726
2
citations
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang
ICML 2024
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
CVPR 2024arXiv:2312.16519
58
citations
Mean-field Chaos Diffusion Models
Sungwoo Park, Dongjun Kim, Ahmed Alaa
ICML 2024arXiv:2406.05396
1
citations
Structure-based drug design by denoising voxel grids
Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood et al.
ICML 2024arXiv:2405.03961
23
citations
Understanding Diffusion Models by Feynman's Path Integral
Yuji Hirono, Akinori Tanaka, Kenji Fukushima
ICML 2024arXiv:2403.11262
11
citations
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
AAAI 2024paperarXiv:2312.11707
9
citations