v1v2 (latest)

Score-Based Generative Modeling through Stochastic Differential Equations

International Conference on Learning Representations (ICLR), 2025

26 November 2020

Yang Song

Jascha Narain Sohl-Dickstein

ArXiv (abs)PDF HTML HuggingFace (2 upvotes)

Papers citing "Score-Based Generative Modeling through Stochastic Differential Equations"

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Title
Drax: Speech Recognition with Discrete Flow Matching Aviv Navon Aviv Shamsian Neta Glazer Yael Segal-Feldman Gill Hetz Joseph Keshet Ethan Fetaya 24 0 0 05 Oct 2025
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs Seong Jin Ahn Myoung-Ho Kim 40 0 0 05 Oct 2025
Score-based generative emulation of impact-relevant Earth system model outputs Shahine Bouabid Andre Souza Raffaele Ferrari 12 0 0 05 Oct 2025
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs Bumjun Kim Dongjae Jeon Dueun Kim Wonje Jeung Albert No 8 0 0 04 Oct 2025
Proximal Diffusion Neural Sampler Wei Guo Jaemoo Choi Y. Zhu Molei Tao Yongxin Chen DiffM 16 1 0 04 Oct 2025
Neon: Negative Extrapolation From Self-Training Improves Image Generation Sina Alemohammad Zhangyang Wang Richard G. Baraniuk SyDa 51 0 0 04 Oct 2025
Diverse Text-to-Image Generation via Contrastive Noise Optimization Byungjun Kim Soobin Um Jong Chul Ye 8 0 0 04 Oct 2025
A Novel Cloud-Based Diffusion-Guided Hybrid Model for High-Accuracy Accident Detection in Intelligent Transportation Systems Siva Sai Saksham Gupta Vinay Chamola Rajkumar Buyya 8 0 0 04 Oct 2025
Contrastive-SDE: Guiding Stochastic Differential Equations with Contrastive Learning for Unpaired Image-to-Image Translation Venkata Narendra Kotyada Revanth Eranki Nagesh Bhattu Sristy DiffM 8 0 0 04 Oct 2025
D2 Actor Critic: Diffusion Actor Meets Distributional Critic Lunjun Zhang Shuo Han Hanrui Lyu Bradly C. Stadie OffRL 16 1 0 03 Oct 2025
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds Xiaolong Ma Xu Dong Ashley Tarrant Lei Yang R. Kotamarthi Jiali Wang Feng Yan R. Kettimuthu 0 0 0 03 Oct 2025
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping Gautham Govind Anil Shaan Ul Haque Nithish Kannen Dheeraj M. Nagaraj Sanjay Shakkottai Karthikeyan Shanmugam 12 0 0 03 Oct 2025
Longitudinal Flow Matching for Trajectory Modeling Mohammad Mohaiminul Islam T. Kuipers Sharvaree P. Vadgama Coen de Vente Afsana Khan Clara I. Sánchez Erik Bekkers 0 0 0 03 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision Dong-Dong Wu Jiacheng Cui Wei Wang Zhiqiang She Masashi Sugiyama DiffM 40 0 0 03 Oct 2025
Dale meets Langevin: A Multiplicative Denoising Diffusion Model Nishanth Shetty Madhava Prasath C. Seelamantula DiffM 54 0 0 03 Oct 2025
RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization Kai Fukazawa Kunal Mundada Iman Soltani OffRL 16 0 0 03 Oct 2025
Learning a distance measure from the information-estimation geometry of data Guy Ohayon P. Fiquet Florentin Guth Jona Ballé Eero P. Simoncelli 28 0 0 02 Oct 2025
FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity predictionInternational Conference on Learning Representations (ICLR), 2025 Julian Cremer Tuan Le Mohammad M. Ghahremanpour Emilia Sługocka Filipe Menezes Djork-Arné Clevert 36 0 0 02 Oct 2025
Multi-marginal temporal Schrödinger Bridge Matching for video generation from unpaired data Thomas Gravier Thomas Boyer Auguste Genovesio DiffM 18 0 0 02 Oct 2025
Policy Gradient Guidance Enables Test Time Control Jianing Qi Hao Tang Zhigang Zhu 12 0 0 02 Oct 2025
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Roman Jacome Romario Gualdrón-Hurtado Leon Suarez Henry Arguello 32 0 0 02 Oct 2025
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification Zeqi Ye Minshuo Chen 8 0 0 02 Oct 2025
Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity Eric Tillmann Bill Enis Simsar Thomas Hofmann DiffM 40 0 0 02 Oct 2025
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive Tyler Farghly Peter Potaptchik Samuel Howard George Deligiannidis Jakiw Pidstrigach DiffM 36 0 0 02 Oct 2025
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models Runqian Wang Yilun Du DiffM 72 0 0 02 Oct 2025
Inference-Time Search using Side Information for Diffusion-based Image Reconstruction Mahdi Farahbakhsh Vishnu Teja Kunde D. Kalathil Krishna R. Narayanan J. Chamberland 20 0 0 02 Oct 2025
SoundReactor: Frame-level Online Video-to-Audio Generation Koichi Saito Julian Tanke Christian Simon Masato Ishii Kazuki Shimada Zachary Novack Zhi-Wei Zhong Akio Hayakawa Takashi Shibuya Yuki Mitsufuji DiffM VGen 56 0 0 02 Oct 2025
PEO: Training-Free Aesthetic Quality Enhancement in Pre-Trained Text-to-Image Diffusion Models with Prompt Embedding Optimization Hovhannes Margaryan Bo Wan Tinne Tuytelaars 36 0 0 02 Oct 2025
$$\text{G}^2$RPO: Granular GRPO for Precise Reward in Flow Models$ $\text{G}^2$ RPO: Granular GRPO for Precise Reward in Flow Models Yujie Zhou Pengyang Ling Jiazi Bu Yibin Wang Yuhang Zang Jiaqi Wang Li Niu Guangtao Zhai DiffM 24 0 0 02 Oct 2025
Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction Yi Ai Yuanhao Cai Yulun Zhang Xiaokang Yang 12 0 0 02 Oct 2025
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion Yule Wang Joseph Yu Chengrui Li Weihan Li Anqi Wu DiffM 20 0 0 02 Oct 2025
Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions Zhaoyi Li Jingtao Ding Yong Li Shihua Li 20 0 0 02 Oct 2025
MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models Kevin Zhai Utsav Singh Anirudh Thatipelli Souradip Chakraborty Anit Kumar Sahu Furong Huang Amrit Singh Bedi Mubarak Shah EGVM 8 0 0 02 Oct 2025
Mathematical Modeling and Convergence Analysis of Deep Neural Networks with Dense Layer Connectivities in Deep Learning Jinshu Huang Haibin Su Xue-Cheng Tai Chunlin Wu AI4CE 16 0 0 02 Oct 2025
Towards Better Optimization For Listwise Preference in Diffusion Models Jiamu Bai Xin Yu Meilong Xu Weitao Lu Xin Pan Kiwan Maeng Daniel Kifer Jian Wang Yu Wang EGVM 36 0 0 02 Oct 2025
Diffusion^2: Turning 3D Environments into Radio Frequency Heatmaps Kyoungjun Park Yifan Yang Changhan Ge Lili Qiu Shiqi Jiang 38 0 0 02 Oct 2025
Diffusion Alignment as Variational Expectation-Maximization Jaewoo Lee Minsu Kim S. Choi Inhyuck Song Sujin Yun Hyeongyu Kang Woocheol Shin Taeyoung Yun Kiyoung Om Jinkyoo Park 0 0 0 01 Oct 2025
DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models Seunghoo Hong Geonho Son Juhun Lee Simon S. Woo DiffM 0 0 0 01 Oct 2025
Selective Underfitting in Diffusion Models Kiwhan Song Jaeyeon Kim Sitan Chen Yilun Du Sham Kakade Vincent Sitzmann DiffM 0 0 0 01 Oct 2025
CINDES: Classification induced neural density estimator and simulator Dehao Dai Jianqing Fan Yihong Gu Debarghya Mukherjee DiffM CML 3 0 0 01 Oct 2025
Riemannian Consistency Model Chaoran Cheng Yusong Wang Yuxin Chen Xiangxin Zhou Nanning Zheng Ge Liu 0 0 0 01 Oct 2025
Combining complex Langevin dynamics with score-based and energy-based diffusion models Gert Aarts Diaa E. Habibi Lingxiao Wang K. Zhou DiffM 21 0 0 01 Oct 2025
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration Alessio Spagnoletti Andrés Almansa Marcelo Pereyra DiffM VGen 16 0 0 01 Oct 2025
Purrception: Variational Flow Matching for Vector-Quantized Image Generation Răzvan-Andrei Matişan Vincent Tao Hu Grigory Bartosh Bjorn Ommer Cees G. M. Snoek Max Welling Jan-Willem van de Meent Mohammad Mahdi Derakhshani Floor Eijkelboom 8 0 0 01 Oct 2025
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation Jing Wang Wonho Bae Jiahong Chen Wenxu Wang Junhyug Noh 12 0 0 01 Oct 2025
Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models Yanbo Xu Yu Wu Sungjae Park Zhizhuo Zhou Shubham Tulsiani DiffM 1 0 0 01 Oct 2025
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling Huangjie Zheng Shansan Gong Ruixiang Zhang Tianrong Chen Jiatao Gu Mingyuan Zhou Navdeep Jaitly Y. Zhang DiffM 49 1 0 01 Oct 2025
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion Brett Barkley Preston Culbertson David Fridovich-Keil 12 0 0 01 Oct 2025
Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents Beomsu Kim Byunghee Cha Jong Chul Ye 8 0 0 01 Oct 2025
Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment Suhyeon Lee Jong Chul Ye 0 0 0 01 Oct 2025