{"total":38,"rows":[{"id":"2402.10309","title":"Discrete Probabilistic Inference as Control in Multi-path Environments","created":"2024-02-15","cited_by_count":44,"area":null},{"id":"2312.14331","title":"Maximum entropy GFlowNets with soft Q-learning","created":"2023-12-21","cited_by_count":30,"area":null},{"id":"2410.01432","title":"Adaptive teachers for amortized samplers","created":"2024-10-02","cited_by_count":23,"area":null},{"id":"2512.04562","title":"LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models","created":"2025-12-04","cited_by_count":23,"area":null},{"id":"2402.05234","title":"QGFN: Controllable Greediness with Action Values","created":"2024-02-07","cited_by_count":18,"area":null},{"id":"2405.16012","title":"Pessimistic Backward Policy for GFlowNets","created":"2024-05-25","cited_by_count":14,"area":null},{"id":"2410.15474","title":"Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization","created":"2024-10-20","cited_by_count":14,"area":null},{"id":"2410.02596","title":"Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks","created":"2024-10-03","cited_by_count":11,"area":null},{"id":"2502.07735","title":"Revisiting Non-Acyclic GFlowNets in Discrete Environments","created":"2025-02-11","cited_by_count":10,"area":null},{"id":"2511.12596","title":"Group-Aware Reinforcement Learning for Output Diversity in Large Language Models","created":"2025-11-16","cited_by_count":10,"area":null},{"id":"2406.01124","title":"Latent Logic Tree Extraction for Event Sequence Explanation from LLMs","created":"2024-06-03","cited_by_count":9,"area":null},{"id":"2406.13655","title":"Improving GFlowNets with Monte Carlo Tree Search","created":"2024-06-19","cited_by_count":8,"area":null},{"id":"2512.15605","title":"Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction","created":"2025-12-17","cited_by_count":8,"area":null},{"id":"2506.02685","title":"Symmetry-Aware GFlowNets","created":"2025-06-03","cited_by_count":7,"area":null},{"id":"2402.05309","title":"Investigating Generalization Behaviours of Generative Flow Networks","created":"2024-02-07","cited_by_count":6,"area":null},{"id":"2510.11711","title":"Reinforced sequential Monte Carlo for amortised sampling","created":"2025-10-13","cited_by_count":6,"area":null},{"id":"2406.02213","title":"Random Policy Evaluation Uncovers Policies of Generative Flow Networks","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2510.26688","title":"FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design","created":"2025-10-30","cited_by_count":4,"area":null},{"id":"2407.03105","title":"On Generalization for Generative Flow Networks","created":"2024-07-03","cited_by_count":3,"area":null},{"id":"2511.16592","title":"gfnx: Fast and Scalable Library for Generative Flow Networks in JAX","created":"2025-11-20","cited_by_count":3,"area":null},{"id":"2603.00454","title":"Rooted Absorbed Prefix Trajectory Balance with Submodular Replay for GFlowNet Training","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2503.06985","title":"Learning Decision Trees as Amortized Structure Inference","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2508.15442","title":"Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2603.01786","title":"Learning Shortest Paths with Generative Flow Networks","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2502.19337","title":"Consistent Amortized Clustering via Generative Flow Networks","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2602.04119","title":"Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2603.01047","title":"Evaluating GFlowNet from partial episodes for stable and flexible policy-based training","created":"2026-03-01","cited_by_count":1,"area":null},{"id":"2605.01729","title":"Stable GFlowNets with TV Monitoring and Probabilistic Guarantees","created":"2026-05-03","cited_by_count":1,"area":null},{"id":"2505.20110","title":"Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2507.10797","title":"Multi-Armed Sampling Problem and the End of Exploration","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2602.01749","title":"Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2606.06272","title":"Your GFlowNet Secretly Learns an Optimal Transport Plan","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.16073","title":"Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2608.08644","title":"Path-dependent Discrete Amortized Inference","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2609.35514","title":"One Proposal for Every Margin: Zero-Shot Amortized Sequential Importance Sampling for Binary Matrices","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.03833","title":"Distribution Matching Evolutionary Algorithms for Rare Event Sampling","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.13711","title":"Towards Understanding the Training of GFlowNets: A Theoretical Perspective","created":"2026-10-09","cited_by_count":0,"area":null},{"id":"2610.17007","title":"Mixture of GFlowNets","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}