{"total":18,"rows":[{"id":"2305.15086","title":"Unpaired Image-to-Image Translation via Neural Schr\\\"odinger Bridge","created":"2023-05-24","cited_by_count":96,"area":"diffusion"},{"id":"2206.07771","title":"Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation","created":"2022-06-15","cited_by_count":44,"area":"diffusion"},{"id":"2310.07972","title":"Interpretable Diffusion via Information Decomposition","created":"2023-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2503.10704","title":"Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework","created":"2025-03-12","cited_by_count":20,"area":"diffusion"},{"id":"2301.12068","title":"Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction","created":"2023-01-28","cited_by_count":13,"area":"diffusion"},{"id":"2210.13774","title":"From Points to Functions: Infinite-dimensional Representations in Diffusion Models","created":"2022-10-25","cited_by_count":11,"area":"diffusion"},{"id":"2403.05196","title":"Denoising Autoregressive Representation Learning","created":"2024-03-08","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":"2508.06614","title":"Local Diffusion Models and Phases of Data Distributions","created":"2025-08-08","cited_by_count":8,"area":"diffusion"},{"id":"2402.18607","title":"Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective","created":"2024-02-28","cited_by_count":6,"area":"diffusion"},{"id":"2409.17104","title":"Language-oriented Semantic Communication for Image Transmission with Fine-Tuned Diffusion Model","created":"2024-09-25","cited_by_count":6,"area":"diffusion"},{"id":"2505.11749","title":"Missing Data Imputation by Reducing Mutual Information with Rectified Flows","created":"2025-05-16","cited_by_count":6,"area":"diffusion"},{"id":"2407.00626","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","created":"2024-06-30","cited_by_count":4,"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":"2512.12086","title":"CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation","created":"2025-12-12","cited_by_count":0,"area":"diffusion"},{"id":"2609.32252","title":"Active Data Acquisition with Side Information via Discrete Diffusion Priors","created":"2026-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.35106","title":"DRIFT: Disentangled Responsive-Invariant Flow Transport for Single-Cell Perturbation Prediction","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.13344","title":"Why DiT Models Underperform as Representation Learners without Long Skip Connections","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}