Cover Image

System-Embedded Diffusion Bridge Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sobieski, Bartlomiej, Tivnan, Matthew, Wang, Yuang, Yoon, Siyeop, Jin, Pengfei, Wu, Dufan, Li, Quanzheng, Biecek, Przemyslaw
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Global Counterfactual Directions
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
by: Sobieski, Bartlomiej, et al.
Published: (2026)

Measurement Embedded Schrödinger Bridge for Inverse Problems
by: Wang, Yuang, et al.
Published: (2024)

Rethinking Visual Counterfactual Explanations Through Region Constraint
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
by: Sobieski, Bartlomiej, et al.
Published: (2026)

Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
by: Wang, Yuang, et al.
Published: (2025)

Implicit Image-to-Image Schrodinger Bridge for Image Restoration
by: Wang, Yuang, et al.
Published: (2024)

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
by: Yoon, Siyeop, et al.
Published: (2024)

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
by: Wang, Yuang, et al.
Published: (2024)

Red-Teaming Segment Anything Model
by: Jankowski, Krzysztof, et al.
Published: (2024)

Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model
by: Yoon, Siyeop, et al.
Published: (2025)

Model Science: getting serious about verification, explanation and control of AI systems
by: Biecek, Przemyslaw, et al.
Published: (2025)

Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data
by: Tivnan, Matthew, et al.
Published: (2025)

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
by: Tivnan, Matthew, et al.
Published: (2024)

Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
by: Spyrison, Nicholas, et al.
Published: (2022)

Position: Do Not Explain Vision Models Without Context
by: Tomaszewska, Paulina, et al.
Published: (2024)

Position: Explain to Question not to Justify
by: Biecek, Przemyslaw, et al.
Published: (2024)

Attributions All the Way Down? The Metagame of Interpretability
by: Baniecki, Hubert, et al.
Published: (2026)

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface
by: Yoon, Siyeop, et al.
Published: (2025)

PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models
by: Yuan, Mingze, et al.
Published: (2025)

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
by: Yoon, Siyeop, et al.
Published: (2025)

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
by: Xiao, Qing, et al.
Published: (2024)

Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)

Adversarial attacks and defenses in explainable artificial intelligence: A survey
by: Baniecki, Hubert, et al.
Published: (2023)

Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
by: Grzywaczewski, Jakub, et al.
Published: (2026)

Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)

Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
by: Kobylińska, Katarzyna, et al.
Published: (2023)

X-ray transferable polyrepresentation learning
by: Hryniewska-Guzik, Weronika, et al.
Published: (2025)

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)

Fast Ensembling with Diffusion Schrödinger Bridge
by: Kim, Hyunsu, et al.
Published: (2024)

SwordBench: Evaluating Orthogonality of Steering Image Representations
by: Zaigrajew, Vladimir, et al.
Published: (2026)

LINE: LLM-based Iterative Neuron Explanations for Vision Models
by: Zaigrajew, Vladimir, et al.
Published: (2026)

survex: an R package for explaining machine learning survival models
by: Spytek, Mikołaj, et al.
Published: (2023)

Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model
by: Li, Guanlue, et al.
Published: (2025)

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models
by: Li, Ziwei, et al.
Published: (2026)

DiEC: Diffusion Embedded Clustering
by: Hu, Haidong, et al.
Published: (2025)

High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models
by: Yoon, Siyeop, et al.
Published: (2024)

Series-to-Series Diffusion Bridge Model
by: Yang, Hao, et al.
Published: (2024)

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
by: Baniecki, Hubert, et al.
Published: (2025)

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
by: Kosman, Eitan, et al.
Published: (2026)