{"total":59,"rows":[{"id":"2501.05803","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","created":"2025-01-10","cited_by_count":93,"area":"diffusion"},{"id":"2502.10843","title":"LEAPS: A discrete neural sampler via locally equivariant networks","created":"2025-02-15","cited_by_count":31,"area":null},{"id":"2502.08696","title":"Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics","created":"2025-02-12","cited_by_count":29,"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":"2510.03824","title":"Proximal Diffusion Neural Sampler","created":"2025-10-04","cited_by_count":16,"area":null},{"id":"2502.17100","title":"Generative Models in Decision Making: A Survey","created":"2025-02-24","cited_by_count":15,"area":null},{"id":"2505.17741","title":"Discrete Neural Flow Samplers with Locally Equivariant Transformer","created":"2025-05-23","cited_by_count":13,"area":null},{"id":"2505.16952","title":"FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization","created":"2025-05-22","cited_by_count":11,"area":null},{"id":"2502.00277","title":"Regularized Langevin Dynamics for Combinatorial Optimization","created":"2025-02-01","cited_by_count":10,"area":null},{"id":"2411.09998","title":"Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training","created":"2024-11-15","cited_by_count":9,"area":"diffusion"},{"id":"2506.10982","title":"Rethinking Losses for Diffusion Bridge Samplers","created":"2025-06-12","cited_by_count":7,"area":null},{"id":"2410.02942","title":"SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups","created":"2024-10-03","cited_by_count":6,"area":"diffusion"},{"id":"2410.09693","title":"Neural Solver Selection for Combinatorial Optimization","created":"2024-10-13","cited_by_count":5,"area":null},{"id":"2510.11590","title":"Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization","created":"2025-10-13","cited_by_count":5,"area":"diffusion"},{"id":"2504.01676","title":"Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies","created":"2025-04-02","cited_by_count":4,"area":null},{"id":"2510.24039","title":"Geometric Algorithms for Neural Combinatorial Optimization with Constraints","created":"2025-10-28","cited_by_count":4,"area":null},{"id":"2602.08243","title":"Discrete Adjoint Schr\\\"odinger Bridge Sampler","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2502.20632","title":"Lattice Protein Folding with Variational Annealing","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2509.23043","title":"IsingFormer: Augmenting Parallel Tempering With Learned Proposals","created":"2025-09-27","cited_by_count":3,"area":null},{"id":"2512.02019","title":"Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning","created":"2025-12-01","cited_by_count":3,"area":"diffusion"},{"id":"2502.03669","title":"Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set","created":"2025-02-05","cited_by_count":2,"area":"deeprl"},{"id":"2505.09742","title":"A Generative Neural Annealer for Black-Box Combinatorial Optimization","created":"2025-05-14","cited_by_count":2,"area":null},{"id":"2508.20330","title":"FORGE: Foundational Optimization Representations from Graph Embeddings","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2510.21697","title":"Visual Diffusion Models are Geometric Solvers","created":"2025-10-24","cited_by_count":2,"area":"diffusion"},{"id":"2601.21284","title":"PILD: Physics-Informed Learning via Diffusion","created":"2026-01-29","cited_by_count":2,"area":"diffusion"},{"id":"2602.00737","title":"Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization","created":"2026-01-31","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":"2602.08210","title":"CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial Optimization","created":"2026-02-09","cited_by_count":2,"area":null},{"id":"2605.30920","title":"Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2502.10330","title":"Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement","created":"2025-02-14","cited_by_count":1,"area":"diffusion"},{"id":"2502.12188","title":"Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation","created":"2025-02-15","cited_by_count":1,"area":"diffusion"},{"id":"2510.08627","title":"A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set Problem","created":"2025-10-08","cited_by_count":1,"area":"diffusion"},{"id":"2512.19516","title":"LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning","created":"2025-12-22","cited_by_count":1,"area":"diffusion"},{"id":"2603.20801","title":"Large Neighborhood Search meets Iterative Neural Constraint Heuristics","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2604.12898","title":"BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2502.19377","title":"Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2507.09733","title":"Universal Physics Simulation: A Foundational Diffusion Approach","created":"2025-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2510.14243","title":"Spatial Computing Communications for Multi-User Virtual Reality in Distributed Mobile Edge Computing Network","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2511.19573","title":"Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2512.15800","title":"Edge-wise Topological Divergence Gaps: Guiding Search in Combinatorial Optimization","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.08696","title":"Enabling Population-Based Architectures for Neural Combinatorial Optimization","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2601.18917","title":"GraIP: A Benchmarking Framework For Neural Graph Inverse Problems","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2601.21048","title":"Test-Time Adaptation for Unsupervised Combinatorial Optimization","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2602.00302","title":"Neural Ising Machines via Unrolling and Zeroth-Order Training","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2602.09162","title":"Boltzmann Reinforcement Learning for Noise resilience in Analog Ising Machines","created":"2026-02-09","cited_by_count":0,"area":"deeprl"},{"id":"2603.02462","title":"Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2603.11456","title":"UniHetCO: A Unified Heterogeneous Representation for Multi-Problem Learning in Unsupervised Neural Combinatorial Optimization","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2604.23921","title":"Crystal structure prediction using graph neural combinatorial optimization","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.25129","title":"Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2605.29005","title":"LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2607.01185","title":"Neural Certificate Pricing for Combinatorial Optimization Problems","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.27169","title":"When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.11419","title":"Diffusion-Based Data-Driven Assortment Optimization","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.13079","title":"Constrained Graph Diffusion for Mixed Integer Optimization","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.34585","title":"Compute Time Scaling with Recursive Models for Combinatorial Optimization","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37043","title":"Iterative Exact Discrete Guidance for Energy-Based Sampling","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37323","title":"Parallel Tempering for Diffusion-Based Combinatorial Optimization","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2610.01739","title":"Fixed-point neural samplers on discrete spaces","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03972","title":"Probabilistic Algorithms for Ising Machines from Optimization to Generative AI","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}