{"total":17,"rows":[{"id":"2502.10843","title":"LEAPS: A discrete neural sampler via locally equivariant networks","created":"2025-02-15","cited_by_count":31,"area":null},{"id":"2508.12511","title":"Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference","created":"2025-08-17","cited_by_count":23,"area":null},{"id":"2510.03824","title":"Proximal Diffusion Neural Sampler","created":"2025-10-04","cited_by_count":16,"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":"2506.10982","title":"Rethinking Losses for Diffusion Bridge Samplers","created":"2025-06-12","cited_by_count":7,"area":null},{"id":"2510.19544","title":"Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization","created":"2025-10-22","cited_by_count":5,"area":null},{"id":"2602.08243","title":"Discrete Adjoint Schr\\\"odinger Bridge Sampler","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2509.23043","title":"IsingFormer: Augmenting Parallel Tempering With Learned Proposals","created":"2025-09-27","cited_by_count":3,"area":null},{"id":"2510.23106","title":"Sampling from Energy distributions with Target Concrete Score Identity","created":"2025-10-27","cited_by_count":3,"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":"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":"2609.26272","title":"Mode Collapse Is Cheap to Detect: A Ground-Truth-Free Pre-Flight Check for Neural Samplers","created":"2026-08-20","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":"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}