{"total":32,"rows":[{"id":"2301.12594","title":"A theory of continuous generative flow networks","created":"2023-01-30","cited_by_count":101,"area":null},{"id":"2310.04363","title":"Amortizing intractable inference in large language models","created":"2023-10-06","cited_by_count":97,"area":null},{"id":"2302.01687","title":"Better Training of GFlowNets with Local Credit and Incomplete Trajectories","created":"2023-02-03","cited_by_count":85,"area":null},{"id":"2310.12934","title":"Generative Flow Networks as Entropy-Regularized RL","created":"2023-10-19","cited_by_count":64,"area":null},{"id":"2310.02679","title":"Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization","created":"2023-10-04","cited_by_count":57,"area":null},{"id":"2305.19366","title":"Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network","created":"2023-05-30","cited_by_count":50,"area":null},{"id":"2402.10309","title":"Discrete Probabilistic Inference as Control in Multi-path Environments","created":"2024-02-15","cited_by_count":44,"area":null},{"id":"2302.06576","title":"GFlowNet-EM for learning compositional latent variable models","created":"2023-02-13","cited_by_count":40,"area":null},{"id":"2305.17010","title":"Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets","created":"2023-05-26","cited_by_count":40,"area":null},{"id":"2402.05961","title":"Genetic-guided GFlowNets for Sample Efficient Molecular Optimization","created":"2024-02-05","cited_by_count":39,"area":null},{"id":"2302.05793","title":"Distributional GFlowNets with Quantile Flows","created":"2023-02-11","cited_by_count":28,"area":null},{"id":"2310.08774","title":"PhyloGFN: Phylogenetic inference with generative flow networks","created":"2023-10-12","cited_by_count":22,"area":null},{"id":"2310.03419","title":"Pre-Training and Fine-Tuning Generative Flow Networks","created":"2023-10-05","cited_by_count":17,"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":"2310.02423","title":"Delta-AI: Local objectives for amortized inference in sparse graphical models","created":"2023-10-03","cited_by_count":7,"area":null},{"id":"2310.02779","title":"Expected flow networks in stochastic environments and two-player zero-sum games","created":"2023-10-04","cited_by_count":7,"area":null},{"id":"2410.09355","title":"On Divergence Measures for Training GFlowNets","created":"2024-10-12","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":"2411.05899","title":"Streaming Bayes GFlowNets","created":"2024-11-08","cited_by_count":4,"area":null},{"id":"2602.17827","title":"Avoid What You Know: Divergent Trajectory Balance for GFlowNets","created":"2026-02-19","cited_by_count":4,"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":"2603.18363","title":"PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching","created":"2026-03-19","cited_by_count":2,"area":null},{"id":"2402.16865","title":"Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures","created":"2024-01-21","cited_by_count":1,"area":null},{"id":"2405.19747","title":"Understanding and mitigating difficulties in posterior predictive evaluation","created":"2024-05-30","cited_by_count":1,"area":null},{"id":"2406.01901","title":"Bifurcated Generative Flow Networks","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2602.11498","title":"Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning","created":"2026-02-12","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":"2302.07407","title":"Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars","created":"2023-02-15","cited_by_count":0,"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}],"next_cursor":null}