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Papers matching “diffusion” 33

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Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
2022 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Christoph Haarburger, Maximilian Franz Schulze-Hagen, Philipp Schad, +8 more

21

citations
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antoine Siraudin, Christopher Morris

0

citations
Diffusion Language Models for Speech Recognition
2026 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Davyd Naveriani, Albert Zeyer, Ralf Schlüter, Hermann Ney

0

citations
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof

1

citations
Conditional Speed and Shape Corrections for Travelling Wave Solutions to Stochastically Perturbed Reaction-Diffusion Systems
2025 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Mark van den Bosch, Christian Hamster, Hermen Jan Hupkes

0

citations
Cometh: A continuous-time discrete-state graph diffusion model
2024 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Antoine Siraudin, Fragkiskos D. Malliaros

0

citations
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
2024 arXiv (Cornell University) preprint Computer Science Advanced Vision and Imaging Open access

Christian Schmidt, Daan de Geus, Alexander Hermans, Bastian Leibe

0

citations
Propagation reversal on trees in the large diffusion regime
2024 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Hermen Jan Hupkes, Mia Jukić

0

citations
Constructing far-from-equilibrium patterns in a cross-diffusion vegetation-autotoxicity model
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Annalisa Iuorio, Cinzia Soresina, Frits Veerman

0

citations
Detecting Diffusion-Generated Time Series Under Generator Shift
2026 arXiv (Cornell University) preprint Computer Science Digital Media Forensic Detection Open access

Zhi Wen Soi, Aditya Shankar, Gert Lek, Abele Mălan, Daniel Neider, Jian-Jia Chen, +1 more

0

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

citations
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
2023 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

1

citations
Diffusion Based Unpaired Data Learning for Inverse Problems
2026 arXiv (Cornell University) preprint Computer Science Image and Signal Denoising Methods Open access

Chenglong Bao, Yiming Dang, Chenguang Duan, Yuling Jiao, Defeng Sun

0

citations
Denoising Diffusion Recommender Model
2024 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

0

citations
Continuous and complete liver vessel segmentation with graph-attention guided diffusion
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Xiaotong Zhang, Alexander Broersen, Gonnie van Erp, Silvia L. Pintea, Jouke Dijkstra

0

citations
Optimization-Free Diffusion Model -- A Perturbation Theory Approach
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuehaw Khoo, Mathias Oster, Yifan Peng

0

citations
Multidimensional Stability of Planar Travelling Waves for Stochastically Perturbed Reaction-Diffusion Systems
2024 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Mark van den Bosch, Hermen Jan Hupkes

0

citations
Pigreads: The Python-integrated GPU-enabled reaction-diffusion solver using OpenCL for cardiac electrophysiology and other applications
2025 SSRN Electronic Journal preprint Computer Science Parallel Computing and Optimization Techniques Open access

Desmond Kabus, Hans Dierckx, Tim De Coster

0

citations
Strong Global Convergence of the Consensus-Based Optimization Algorithm
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
Propagation reversal for bistable differential equations on trees
2022 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Hermen Jan Hupkes, Mia Jukić, Petr Stehlík, Vladimír Švígler

0

citations
Consensus-based optimization with $α$-stable jump processes
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Pedro Aceves-Sánchez, Giacomo Albi, Federica Ferrarese, Michael Herty

0

citations
Undesirable Memorization in Large Language Models: A Survey
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Ali Satvaty, Suzan Verberne, Fatih Türkmen

1

citations
Laws of mutual spiral wave interaction in excitable media
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Tim De Coster, Arstanbek Okenov, Debora Hoogendijk, Arman Nobacht, Mathilde R. Rivaud, Antoine De Vries, +3 more

0

citations
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Maximilian Gelbrecht, Michael T. Schaub, Niklas Boers

0

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations