{"total":24,"rows":[{"id":"2410.18639","title":"Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models","created":"2024-10-24","cited_by_count":22,"area":"diffusion"},{"id":"2503.08250","title":"Aligning Text to Image in Diffusion Models is Easier Than You Think","created":"2025-03-11","cited_by_count":22,"area":"diffusion"},{"id":"2406.05191","title":"DiffusionPID: Interpreting Diffusion via Partial Information Decomposition","created":"2024-06-07","cited_by_count":16,"area":"diffusion"},{"id":"2504.13612","title":"Entropic Time Schedulers for Generative Diffusion Models","created":"2025-04-18","cited_by_count":16,"area":"diffusion"},{"id":"2508.19897","title":"The Information Dynamics of Generative Diffusion","created":"2025-08-27","cited_by_count":13,"area":"diffusion"},{"id":"2505.08622","title":"Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models","created":"2025-05-13","cited_by_count":10,"area":"diffusion"},{"id":"2602.09651","title":"The Entropic Signature of Class Speciation in Diffusion Models","created":"2026-02-10","cited_by_count":9,"area":"diffusion"},{"id":"2405.20759","title":"Information Theoretic Text-to-Image Alignment","created":"2024-05-31","cited_by_count":8,"area":"diffusion"},{"id":"2502.02305","title":"Information-Theoretic Proofs for Diffusion Sampling","created":"2025-02-04","cited_by_count":6,"area":"diffusion"},{"id":"2407.08946","title":"Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training","created":"2024-07-12","cited_by_count":5,"area":"diffusion"},{"id":"2509.20609","title":"MMG: Mutual Information Estimation via the MMSE Gap in Diffusion","created":"2025-09-24","cited_by_count":3,"area":"diffusion"},{"id":"2510.24088","title":"Information-Theoretic Discrete Diffusion","created":"2025-10-28","cited_by_count":3,"area":"diffusion"},{"id":"2509.23937","title":"On the Separability of Information in Diffusion Models","created":"2025-09-28","cited_by_count":2,"area":"diffusion"},{"id":"2604.06052","title":"Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models","created":"2026-03-29","cited_by_count":2,"area":"diffusion"},{"id":"2512.17851","title":"InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models","created":"2025-12-19","cited_by_count":1,"area":"diffusion"},{"id":"2505.11309","title":"Decomposing stimulus-specific sensory neural information via diffusion models","created":"2025-05-16","cited_by_count":0,"area":"diffusion"},{"id":"2505.13740","title":"Improving Compositional Generation with Diffusion Models Using Lift Scores","created":"2025-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2507.03846","title":"Interpretable Diffusion Models with B-cos Networks","created":"2025-07-05","cited_by_count":0,"area":"diffusion"},{"id":"2512.17127","title":"Disentangled representations via score-based variational autoencoders","created":"2025-12-18","cited_by_count":0,"area":"diffusion"},{"id":"2603.00992","title":"Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information","created":"2026-03-01","cited_by_count":0,"area":"diffusion"},{"id":"2605.13399","title":"The Diffusion Encoder","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.26756","title":"Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.29801","title":"Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling","created":"2026-06-29","cited_by_count":0,"area":"diffusion"},{"id":"2608.14172","title":"Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation","created":"2026-08-14","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}