ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.13456
  4. Cited By
Score-Based Generative Modeling through Stochastic Differential
  Equations
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
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
    DiffMSyDa
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

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

50 / 5,210 papers shown
Title
Counterfactual Identifiability via Dynamic Optimal Transport
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro
Ainkaran Santhirasekaram
Ben Glocker
OT
40
0
0
09 Oct 2025
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
Eric Hanchen Jiang
Guancheng Wan
Sophia Yin
Mengting Li
Yuchen Wu
...
Xinfeng Li
Yizhou Sun
Wei Wang
Kai-Wei Chang
Ying Nian Wu
0
0
0
09 Oct 2025
Computationally-efficient Graph Modeling with Refined Graph Random Features
Computationally-efficient Graph Modeling with Refined Graph Random Features
Krzysztof Choromanski
Avinava Dubey
Arijit Sehanobish
Isaac Reid
0
0
0
09 Oct 2025
InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
Haoran Yu
Yi Shi
DiffM
0
0
0
09 Oct 2025
Expressive Value Learning for Scalable Offline Reinforcement Learning
Expressive Value Learning for Scalable Offline Reinforcement Learning
Nicolas Espinosa-Dice
Kiante Brantley
Wen Sun
OffRL
0
0
0
09 Oct 2025
Continual Learning for Adaptive AI Systems
Continual Learning for Adaptive AI Systems
Md Hasibul Amin
Tamzid Tanvi Alam
CLL
20
0
0
09 Oct 2025
FlowLensing: Simulating Gravitational Lensing with Flow Matching
FlowLensing: Simulating Gravitational Lensing with Flow Matching
Hamees Sayed
Pranath Reddy
Michael W. Toomey
Sergei Gleyzer
0
0
0
09 Oct 2025
Optimal Stopping in Latent Diffusion Models
Optimal Stopping in Latent Diffusion Models
Yu-Han Wu
Quentin Berthet
Gérard Biau
Claire Boyer
Romuald Elie
Pierre Marion
0
0
0
09 Oct 2025
Beyond Real Data: Synthetic Data through the Lens of Regularization
Beyond Real Data: Synthetic Data through the Lens of Regularization
Amitis Shidani
Tyler Farghly
Yang Sun
Habib Ganjgahi
George Deligiannidis
0
0
0
09 Oct 2025
Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
Kevin Rojas
Jiahe Lin
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
Molei Tao
Wei Deng
0
0
0
09 Oct 2025
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden
Ryan Sweke
Vojtěch Havlíček
Anirban Chowdhury
Kirill Neklyudov
0
0
0
09 Oct 2025
PAC Learnability in the Presence of Performativity
PAC Learnability in the Presence of Performativity
Ivan Kirev
Lyuben Baltadzhiev
Nikola Konstantinov
0
0
0
09 Oct 2025
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng
Yuji Wang
Qianli Ma
Huayu Chen
Jintao Zhang
Yogesh Balaji
Jianfei Chen
Ming-Yu Liu
Jun Zhu
Qinsheng Zhang
DiffM
1
0
0
09 Oct 2025
Permutation-Invariant Spectral Learning via Dyson Diffusion
Permutation-Invariant Spectral Learning via Dyson Diffusion
Tassilo Schwarz
Cai Dieball
Constantin Kogler
Kevin Lam
Renaud Lambiotte
Arnaud Doucet
Aljaž Godec
George Deligiannidis
DiffM
2
0
0
09 Oct 2025
Who Said Neural Networks Aren't Linear?
Who Said Neural Networks Aren't Linear?
Nimrod Berman
Assaf Hallak
Assaf Shocher
0
0
0
09 Oct 2025
Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger Manipulation
Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger Manipulation
Abhinav Kumar
Fan Yang
Sergio Aguilera Marinovic
Soshi Iba
Rana Soltani Zarrin
Dmitry Berenson
12
0
0
08 Oct 2025
EigenScore: OOD Detection using Covariance in Diffusion Models
EigenScore: OOD Detection using Covariance in Diffusion Models
Shirin Shoushtari
Yi Wang
Xiao Shi
M. Salman Asif
Ulugbek S. Kamilov
DiffM
12
0
0
08 Oct 2025
Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
Weiguo Lu
Gangnan Yuan
Hong-kun Zhang
Shangyang Li
12
0
0
08 Oct 2025
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
Zhangdie Yuan
Han-Chin Shing
Mitch Strong
Chaitanya Shivade
0
0
0
08 Oct 2025
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Masih Aminbeidokhti
H. R. Medeiros
Eric Granger
M. Pedersoli
UQCV
20
0
0
08 Oct 2025
Security-Robustness Trade-offs in Diffusion Steganography: A Comparative Analysis of Pixel-Space and VAE-Based Architectures
Security-Robustness Trade-offs in Diffusion Steganography: A Comparative Analysis of Pixel-Space and VAE-Based Architectures
Yuhua Xu
Wei Sun
Chengpei Tang
Jiaxing Lu
Jingying Zhou
Chen Gu
DiffM
8
0
0
08 Oct 2025
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
Gal Fadlon
Idan Arbiv
Nimrod Berman
Omri Azencot
DiffMMedIm
9
0
0
08 Oct 2025
Autoformalizer with Tool Feedback
Autoformalizer with Tool Feedback
Qi Guo
Jianing Wang
J. Zhang
Deyang Kong
X. Y. Huang
...
Wei Wang
Jingang Wang
Xunliang Cai
Shikun Zhang
Wei Ye
20
0
0
08 Oct 2025
Efficient Conditional Generation on Scale-based Visual Autoregressive Models
Efficient Conditional Generation on Scale-based Visual Autoregressive Models
Jiaqi Liu
Tao Huang
Chang Xu
DiffM
29
0
0
07 Oct 2025
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
Anwen Lu
Mingxin Liu
Yiping Jiao
Hongyi Gong
Geyang Xu
Jun Chen
Jun Xu
24
0
0
07 Oct 2025
Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data
Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data
Mohammed Alsubaie
Wenxi Liu
Linxia Gu
Ovidiu C. Andronesi
Sirani M. Perera
Xianqi Li
DiffMMedIm
40
0
0
07 Oct 2025
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
Andrew Ly
Pulin Gong
AI4CE
28
0
0
07 Oct 2025
Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling
Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling
Young D. Kwon
Abhinav Mehrotra
Malcolm Chadwick
Alberto Gil C. P. Ramos
S. Bhattacharya
DiffM
8
0
0
07 Oct 2025
$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
D3\bf{D^3}D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang
Bingyao Yu
Yu Zheng
Wenzhao Zheng
Yueqi Duan
Lei Chen
Jie Zhou
Jiwen Lu
MQ
12
0
0
07 Oct 2025
Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis
Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis
Eashan Adhikarla
Yixin Liu
Brian D. Davison
DiffMMedIm
44
0
0
07 Oct 2025
Teamwork: Collaborative Diffusion with Low-rank Coordination and Adaptation
Teamwork: Collaborative Diffusion with Low-rank Coordination and Adaptation
Sam Sartor
Pieter Peers
DiffM
28
0
0
07 Oct 2025
Thermodynamic Performance Limits for Score-Based Diffusion Models
Thermodynamic Performance Limits for Score-Based Diffusion Models
Nathan X. Kodama
Michael Hinczewski
DiffM
8
0
0
07 Oct 2025
Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models
Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models
Shinnosuke Saito
Takashi Matsubara
DiffM
28
0
0
07 Oct 2025
ESS-Flow: Training-free guidance of flow-based models as inference in source space
ESS-Flow: Training-free guidance of flow-based models as inference in source space
Adhithyan Kalaivanan
Zheng Zhao
Jens Sjölund
Fredrik Lindsten
BDL
24
0
0
07 Oct 2025
VChain: Chain-of-Visual-Thought for Reasoning in Video Generation
VChain: Chain-of-Visual-Thought for Reasoning in Video Generation
Z. Huang
Ning Yu
Gordon Chen
Haonan Qiu
P. Debevec
Ziwei Liu
VGenLRM
12
0
0
06 Oct 2025
ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion
ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion
Foivos Paraperas-Papantoniou
Stefanos Zafeiriou
DiffM
32
0
0
06 Oct 2025
Perspectives on Stochastic Localization
Perspectives on Stochastic Localization
Bobby Shi
Kevin Tian
Matthew S. Zhang
28
0
0
06 Oct 2025
RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
Khartik Uppalapati
Shakeel Abdulkareem
Bora Yimenicioglu
MedIm
8
0
0
06 Oct 2025
TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling
TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling
Hyunmin Cho
Donghoon Ahn
S. Hong
J. Kim
Seungryong Kim
Kyong Hwan Jin
DiffM
24
0
0
06 Oct 2025
ReactDiff: Fundamental Multiple Appropriate Facial Reaction Diffusion Model
ReactDiff: Fundamental Multiple Appropriate Facial Reaction Diffusion Model
Luo Cheng
Song Siyang
Yan Siyuan
Yu Zhen
Ge Zongyuan
8
0
0
06 Oct 2025
SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
Ronen Kamenetsky
Sara Dorfman
Daniel Garibi
Roni Paiss
Or Patashnik
Daniel Cohen-Or
DiffM
51
0
0
06 Oct 2025
Flow-Matching Based Refiner for Molecular Conformer Generation
Flow-Matching Based Refiner for Molecular Conformer Generation
Xiangyang Xu
Hongyang Gao
DiffMBDL
56
0
0
06 Oct 2025
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
Zhenyu Liu
Varun Ojha
AAML
24
0
0
06 Oct 2025
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
Théophane Vallaeys
Jakob Verbeek
Matthieu Cord
DiffM
24
1
0
06 Oct 2025
UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models
UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models
Wenhao Guan
Zhikang Niu
Ziyue Jiang
Kaidi Wang
Peijie Chen
Q. Hong
Lin Li
Xie Chen
AuLLM
24
0
0
06 Oct 2025
Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
Seunghyun Lee
Tae-Kyun Kim
DiffM
28
0
0
05 Oct 2025
Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints
Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints
Subhodip Panda
MS Varun
Shreyans Jain
Sarthak Kumar Maharana
Prathosh A.P.
DiffM
12
0
0
05 Oct 2025
Drax: Speech Recognition with Discrete Flow Matching
Drax: Speech Recognition with Discrete Flow Matching
Aviv Navon
Aviv Shamsian
Neta Glazer
Yael Segal-Feldman
Gill Hetz
Joseph Keshet
Ethan Fetaya
20
3
0
05 Oct 2025
Self Speculative Decoding for Diffusion Large Language Models
Self Speculative Decoding for Diffusion Large Language Models
Yifeng Gao
Ziang Ji
Y. Wang
Biqing Qi
Hanlin Xu
Linfeng Zhang
DiffMLRM
20
0
0
05 Oct 2025
GDiffuSE: Diffusion-based speech enhancement with noise model guidance
GDiffuSE: Diffusion-based speech enhancement with noise model guidance
Efrayim Yanir
David Burshtein
Sharon Gannot
DiffM
20
0
0
05 Oct 2025
1234...103104105
Next