{"total":83,"rows":[{"id":"2406.04329","title":"Simplified and Generalized Masked Diffusion for Discrete Data","created":"2024-06-06","cited_by_count":626,"area":"diffusion"},{"id":"2402.04997","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","created":"2024-02-07","cited_by_count":305,"area":"diffusion"},{"id":"2412.10193","title":"Simple Guidance Mechanisms for Discrete Diffusion Models","created":"2024-12-13","cited_by_count":155,"area":"diffusion"},{"id":"2402.15194","title":"Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control","created":"2024-02-23","cited_by_count":143,"area":"diffusion"},{"id":"2408.08252","title":"Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding","created":"2024-08-15","cited_by_count":136,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2403.11968","title":"Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory","created":"2024-03-18","cited_by_count":63,"area":"diffusion"},{"id":"2404.14743","title":"Gradient Guidance for Diffusion Models: An Optimization Perspective","created":"2024-04-23","cited_by_count":61,"area":"diffusion"},{"id":"2410.01949","title":"Discrete Copula Diffusion","created":"2024-10-02","cited_by_count":54,"area":"diffusion"},{"id":"2402.16359","title":"Feedback Efficient Online Fine-Tuning of Diffusion Models","created":"2024-02-26","cited_by_count":53,"area":"diffusion"},{"id":"2501.06158","title":"GenMol: A Drug Discovery Generalist with Discrete Diffusion","created":"2025-01-10","cited_by_count":50,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2502.01384","title":"Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods","created":"2025-02-03","cited_by_count":38,"area":"diffusion"},{"id":"2412.17780","title":"PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion","created":"2024-12-23","cited_by_count":37,"area":"diffusion"},{"id":"2402.18012","title":"Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints","created":"2024-02-28","cited_by_count":35,"area":"diffusion"},{"id":"2410.23285","title":"Provable Acceleration for Diffusion Models under Minimal Assumptions","created":"2024-10-30","cited_by_count":27,"area":"diffusion"},{"id":"2410.02321","title":"Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis","created":"2024-10-03","cited_by_count":24,"area":"diffusion"},{"id":"2508.10684","title":"MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control","created":"2025-08-14","cited_by_count":21,"area":"diffusion"},{"id":"2312.09193","title":"Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time","created":"2023-12-14","cited_by_count":20,"area":"diffusion"},{"id":"2506.02318","title":"Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models","created":"2025-06-02","cited_by_count":20,"area":"diffusion"},{"id":"2505.14455","title":"CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation","created":"2025-05-20","cited_by_count":17,"area":"diffusion"},{"id":"2407.04493","title":"PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation","created":"2024-07-05","cited_by_count":16,"area":"diffusion"},{"id":"2407.01624","title":"Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization","created":"2024-06-29","cited_by_count":15,"area":"diffusion"},{"id":"2506.08316","title":"Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion","created":"2025-06-10","cited_by_count":15,"area":"diffusion"},{"id":"2509.25171","title":"TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion","created":"2025-09-29","cited_by_count":14,"area":"diffusion"},{"id":"2602.21185","title":"The Diffusion Duality, Chapter II: $\\Psi$-Samplers","created":"2026-02-24","cited_by_count":12,"area":"diffusion"},{"id":"2407.11942","title":"Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design","created":"2024-07-16","cited_by_count":11,"area":"diffusion"},{"id":"2507.08965","title":"Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact","created":"2025-07-11","cited_by_count":11,"area":"diffusion"},{"id":"2510.03929","title":"Self-Speculative Masked Diffusions","created":"2025-10-04","cited_by_count":11,"area":"diffusion"},{"id":"2601.10403","title":"Discrete Feynman-Kac Correctors","created":"2026-01-15","cited_by_count":11,"area":"diffusion"},{"id":"2506.10971","title":"What Exactly Does Guidance Do in Masked Discrete Diffusion Models","created":"2025-06-12","cited_by_count":9,"area":"diffusion"},{"id":"2406.01899","title":"Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models","created":"2024-06-04","cited_by_count":8,"area":"diffusion"},{"id":"2508.16306","title":"A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions","created":"2025-08-22","cited_by_count":8,"area":"diffusion"},{"id":"2406.17399","title":"GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling","created":"2024-06-25","cited_by_count":7,"area":"diffusion"},{"id":"2505.15093","title":"Steering Generative Models with Experimental Data for Protein Fitness Optimization","created":"2025-05-21","cited_by_count":7,"area":"diffusion"},{"id":"2509.22963","title":"Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces","created":"2025-09-26","cited_by_count":7,"area":"diffusion"},{"id":"2511.07390","title":"A Diffusion Model to Shrink Proteins While Maintaining Their Function","created":"2025-11-10","cited_by_count":7,"area":"diffusion"},{"id":"2407.11133","title":"Discrete generative diffusion models without stochastic differential equations: a tensor network approach","created":"2024-07-15","cited_by_count":6,"area":"diffusion"},{"id":"2410.06502","title":"Chemistry-Inspired Diffusion with Non-Differentiable Guidance","created":"2024-10-09","cited_by_count":6,"area":"diffusion"},{"id":"2404.12314","title":"Guided Discrete Diffusion for Electronic Health Record Generation","created":"2024-04-18","cited_by_count":5,"area":"diffusion"},{"id":"2502.04491","title":"Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning","created":"2025-02-06","cited_by_count":5,"area":"diffusion"},{"id":"2503.05730","title":"Robust Optimization with Diffusion Models for Green Security","created":"2025-02-19","cited_by_count":5,"area":"diffusion"},{"id":"2506.10955","title":"ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems","created":"2025-06-12","cited_by_count":5,"area":"diffusion"},{"id":"2510.14989","title":"Constrained Diffusion for Protein Design with Hard Structural Constraints","created":"2025-10-01","cited_by_count":5,"area":"diffusion"},{"id":"2406.00812","title":"Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation","created":"2024-06-02","cited_by_count":4,"area":"diffusion"},{"id":"2409.09828","title":"Latent Diffusion Models for Controllable RNA Sequence Generation","created":"2024-09-15","cited_by_count":4,"area":"diffusion"},{"id":"2410.14710","title":"G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving","created":"2024-10-09","cited_by_count":4,"area":"diffusion"},{"id":"2607.00773","title":"Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling","created":"2026-07-01","cited_by_count":4,"area":"diffusion"},{"id":"2503.06340","title":"Backdoor Attacks on Discrete Graph Diffusion Models","created":"2025-03-08","cited_by_count":3,"area":"diffusion"},{"id":"2605.00182","title":"Towards A Generative Protein Evolution Machine with DPLM-Evo","created":"2026-04-30","cited_by_count":3,"area":"diffusion"},{"id":"2605.18745","title":"SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate","created":"2026-05-18","cited_by_count":3,"area":"diffusion"},{"id":"2606.02884","title":"Are we really tilting? The mechanics of reward guidance in flow and diffusion models","created":"2026-06-01","cited_by_count":3,"area":"diffusion"},{"id":"2606.13496","title":"Budget-Constrained Step-Level Diffusion Caching","created":"2026-06-11","cited_by_count":3,"area":"diffusion"},{"id":"2406.16213","title":"Provable Statistical Rates for Consistency Diffusion Models","created":"2024-06-23","cited_by_count":2,"area":"diffusion"},{"id":"2505.01049","title":"Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees","created":"2025-05-02","cited_by_count":2,"area":"diffusion"},{"id":"2507.04856","title":"Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling","created":"2025-07-07","cited_by_count":2,"area":"diffusion"},{"id":"2602.05961","title":"Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces","created":"2026-02-05","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":"2409.16298","title":"BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design","created":"2024-09-09","cited_by_count":1,"area":"diffusion"},{"id":"2411.16301","title":"DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation","created":"2024-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2506.05680","title":"Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization","created":"2025-06-06","cited_by_count":1,"area":"diffusion"},{"id":"2512.14765","title":"Guided Discrete Diffusion for Constraint Satisfaction Problems","created":"2025-12-16","cited_by_count":1,"area":"diffusion"},{"id":"2512.14980","title":"Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations","created":"2025-12-17","cited_by_count":1,"area":"diffusion"},{"id":"2512.15923","title":"A Unification of Discrete, Gaussian, and Simplicial Diffusion","created":"2025-12-17","cited_by_count":1,"area":"diffusion"},{"id":"2605.10385","title":"Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2608.20123","title":"Discrete Diffusion Inference-Time Control with Nested Sequential Monte Carlo","created":"2026-08-20","cited_by_count":1,"area":"diffusion"},{"id":"2608.26585","title":"VGAS: Variance-Reduced Guidance and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusion","created":"2026-08-27","cited_by_count":1,"area":"diffusion"},{"id":"2609.35947","title":"FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2406.18330","title":"Molecular Diffusion Models with Virtual Receptors","created":"2024-06-26","cited_by_count":0,"area":"diffusion"},{"id":"2503.18551","title":"Discriminative protein sequence modelling with Latent Space Diffusion","created":"2025-03-24","cited_by_count":0,"area":"diffusion"},{"id":"2504.16858","title":"Planning with Diffusion Models for Target-Oriented Dialogue Systems","created":"2025-04-23","cited_by_count":0,"area":"diffusion"},{"id":"2507.18603","title":"Demystify Protein Generation with Hierarchical Conditional Diffusion Models","created":"2025-07-24","cited_by_count":0,"area":"diffusion"},{"id":"2509.23800","title":"Sample-Efficient Optimisation over the Outputs of Generative Models","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2510.20792","title":"BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation","created":"2025-10-23","cited_by_count":0,"area":"diffusion"},{"id":"2602.17602","title":"MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models","created":"2026-02-19","cited_by_count":0,"area":"diffusion"},{"id":"2604.17310","title":"Interpolating Discrete Diffusion Models with Controllable Resampling","created":"2026-04-19","cited_by_count":0,"area":"diffusion"},{"id":"2606.11243","title":"ProHiFlo: Hierarchical Flow Matching with Functional Guidance for De Novo Protein Generation","created":"2026-06-03","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"},{"id":"2608.03032","title":"DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning","created":"2026-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.27306","title":"Discrete Diffusion Models via Evolving Variational Autoregressive Networks","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.30456","title":"Spectral Feedback for Test-Time Alignment of Protein Diffusion Models","created":"2026-09-24","cited_by_count":0,"area":"diffusion"},{"id":"2609.35924","title":"Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives","created":"2026-09-28","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}