Cover Image

Towards a Mechanistic Explanation of Diffusion Model Generalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niedoba, Matthew, Zwartsenberg, Berend, Murphy, Kevin, Wood, Frank
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization
by: Niedoba, Matthew, et al.
Published: (2026)

Nearest Neighbour Score Estimators for Diffusion Generative Models
by: Niedoba, Matthew, et al.
Published: (2024)

Control-ITRA: Controlling the Behavior of a Driving Model
by: Lioutas, Vasileios, et al.
Published: (2025)

Semantically Consistent Video Inpainting with Conditional Diffusion Models
by: Green, Dylan, et al.
Published: (2024)

Explanation Bottleneck Models
by: Yamaguchi, Shin'ya, et al.
Published: (2024)

Towards Multi-dimensional Explanation Alignment for Medical Classification
by: Hu, Lijie, et al.
Published: (2024)

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
by: Mehrpanah, Amir, et al.
Published: (2025)

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
by: Liu, Jiacheng, et al.
Published: (2025)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
by: Mertes, Silvan, et al.
Published: (2024)

Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
by: Wang, Junyan, et al.
Published: (2024)

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
by: Berman, Nimrod, et al.
Published: (2025)

Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL
by: Wu, Junyi, et al.
Published: (2026)

Studying How to Efficiently and Effectively Guide Models with Explanations
by: Rao, Sukrut, et al.
Published: (2023)

Input-Adaptive Generative Dynamics in Diffusion Models
by: Xing, Yucheng, et al.
Published: (2024)

Generative Dataset Distillation Based on Diffusion Model
by: Su, Duo, et al.
Published: (2024)

License Plate Images Generation with Diffusion Models
by: Shpir, Mariia, et al.
Published: (2025)

Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)

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

EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations
by: Zhang, Emerald, et al.
Published: (2025)

TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
by: Augustin, Maximilian, et al.
Published: (2023)

Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
by: Jun, Youngjun, et al.
Published: (2024)

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
by: Chadebec, Clément, et al.
Published: (2024)

Enhancing Diffusion Models for High-Quality Image Generation
by: Shah, Jaineet, et al.
Published: (2024)

Cortex-Grounded Diffusion Models for Brain Image Generation
by: Bongratz, Fabian, et al.
Published: (2026)

Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
by: Yang, Ruo, et al.
Published: (2024)

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
by: Wang, Hengyi, et al.
Published: (2024)

Improved Constrained Generation by Bridging Pretrained Generative Models
by: Liang, Xiaoxuan, et al.
Published: (2026)

Generative Emotion Cause Explanation in Multimodal Conversations
by: Wang, Lin, et al.
Published: (2024)

Contextualized Diffusion Models for Text-Guided Image and Video Generation
by: Yang, Ling, et al.
Published: (2024)

Self-Guided Generation of Minority Samples Using Diffusion Models
by: Um, Soobin, et al.
Published: (2024)

Learning to Generate Rigid Body Interactions with Video Diffusion Models
by: Romero, David, et al.
Published: (2025)

DiffusionSat: A Generative Foundation Model for Satellite Imagery
by: Khanna, Samar, et al.
Published: (2023)

Improving Compositional Generation with Diffusion Models Using Lift Scores
by: Yu, Chenning, et al.
Published: (2025)

Text-to-image Diffusion Models in Generative AI: A Survey
by: Zhang, Chenshuang, et al.
Published: (2023)

Inference-Time Scaling of Diffusion Models for Infrared Data Generation
by: Horstmann, Kai A., et al.
Published: (2025)

Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)