{"total":21,"rows":[{"id":"2211.07740","title":"Denoising diffusion models for out-of-distribution detection","created":"2022-11-14","cited_by_count":104,"area":"diffusion"},{"id":"2309.13415","title":"Dream the Impossible: Outlier Imagination with Diffusion Models","created":"2023-09-23","cited_by_count":77,"area":"diffusion"},{"id":"2302.10326","title":"Unsupervised Out-of-Distribution Detection with Diffusion Inpainting","created":"2023-02-20","cited_by_count":59,"area":"diffusion"},{"id":"2510.09459","title":"Failure Prediction at Runtime for Generative Robot Policies","created":"2025-10-10","cited_by_count":42,"area":"diffusion"},{"id":"2307.03777","title":"Unsupervised 3D out-of-distribution detection with latent diffusion models","created":"2023-07-07","cited_by_count":22,"area":"diffusion"},{"id":"2308.16150","title":"Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI","created":"2023-08-30","cited_by_count":12,"area":"diffusion"},{"id":"2306.04695","title":"ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models","created":"2023-06-07","cited_by_count":10,"area":"diffusion"},{"id":"2310.17432","title":"Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models","created":"2023-10-26","cited_by_count":10,"area":"diffusion"},{"id":"2411.10701","title":"Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection","created":"2024-11-16","cited_by_count":5,"area":"diffusion"},{"id":"2510.17131","title":"GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection","created":"2025-10-20","cited_by_count":5,"area":"diffusion"},{"id":"2508.00350","title":"BOOD: Boundary-based Out-Of-Distribution Data Generation","created":"2025-08-01","cited_by_count":4,"area":"diffusion"},{"id":"2510.01456","title":"SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion","created":"2025-10-01","cited_by_count":3,"area":"diffusion"},{"id":"2403.01485","title":"Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection","created":"2024-03-03","cited_by_count":2,"area":"diffusion"},{"id":"2411.00425","title":"Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing","created":"2024-11-01","cited_by_count":2,"area":"diffusion"},{"id":"2501.06999","title":"Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps","created":"2025-01-13","cited_by_count":2,"area":"diffusion"},{"id":"2508.15737","title":"Probability Density from Latent Diffusion Models for Out-of-Distribution Detection","created":"2025-08-21","cited_by_count":2,"area":"diffusion"},{"id":"2406.16525","title":"Enhancing OOD Detection Using Latent Diffusion","created":"2024-06-24","cited_by_count":1,"area":"diffusion"},{"id":"2510.14467","title":"Restoring Noisy Demonstration for Imitation Learning With Diffusion Models","created":"2025-10-16","cited_by_count":1,"area":"diffusion"},{"id":"2405.00631","title":"Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure","created":"2024-05-01","cited_by_count":0,"area":"diffusion"},{"id":"2409.01317","title":"LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion","created":"2024-09-02","cited_by_count":0,"area":"diffusion"},{"id":"2602.13061","title":"Native Extrapolation Awareness in Flow-Based Conditional Generation","created":"2026-02-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}