{"total":18,"rows":[{"id":"2506.20701","title":"Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models","created":"2025-06-25","cited_by_count":34,"area":"diffusion"},{"id":"2602.05993","title":"Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps","created":"2026-02-05","cited_by_count":29,"area":"diffusion"},{"id":"2509.25170","title":"GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models","created":"2025-09-29","cited_by_count":17,"area":"diffusion"},{"id":"2507.00445","title":"Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design","created":"2025-07-01","cited_by_count":11,"area":"diffusion"},{"id":"2602.16198","title":"Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform","created":"2026-02-18","cited_by_count":11,"area":"diffusion"},{"id":"2506.09498","title":"Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning","created":"2025-06-11","cited_by_count":6,"area":"diffusion"},{"id":"2510.00502","title":"Diffusion Alignment as Variational Expectation-Maximization","created":"2025-10-01","cited_by_count":4,"area":"diffusion"},{"id":"2506.00299","title":"Inference-Time Alignment of Diffusion Models via Evolutionary Algorithms","created":"2025-05-30","cited_by_count":2,"area":"diffusion"},{"id":"2509.23146","title":"Tree Reward-Aligned Search for TReASURe in Masked Diffusion Language Models","created":"2025-09-27","cited_by_count":2,"area":"diffusion"},{"id":"2604.06779","title":"VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion","created":"2026-04-08","cited_by_count":2,"area":"diffusion"},{"id":"2606.13565","title":"A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding","created":"2026-06-11","cited_by_count":2,"area":"diffusion"},{"id":"2506.20294","title":"Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations","created":"2025-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2510.03352","title":"Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction","created":"2025-10-02","cited_by_count":1,"area":"diffusion"},{"id":"2603.22027","title":"Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models","created":"2026-03-23","cited_by_count":1,"area":"diffusion"},{"id":"2605.08144","title":"NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training","created":"2026-05-02","cited_by_count":1,"area":"diffusion"},{"id":"2511.20889","title":"Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation","created":"2025-11-25","cited_by_count":0,"area":"diffusion"},{"id":"2512.23532","title":"Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-Resolution","created":"2025-12-29","cited_by_count":0,"area":"diffusion"},{"id":"2607.02834","title":"On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization","created":"2026-07-03","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}