{"total":68,"rows":[{"id":"2404.00579","title":"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)","created":"2024-03-31","cited_by_count":58,"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":"2403.07041","title":"Ant Colony Sampling with GFlowNets for Combinatorial Optimization","created":"2024-03-11","cited_by_count":53,"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":"2310.02710","title":"Local Search GFlowNets","created":"2023-10-04","cited_by_count":48,"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":"2302.09465","title":"Stochastic Generative Flow Networks","created":"2023-02-19","cited_by_count":32,"area":null},{"id":"2306.17693","title":"Thompson sampling for improved exploration in GFlowNets","created":"2023-06-30","cited_by_count":32,"area":null},{"id":"2302.05793","title":"Distributional GFlowNets with Quantile Flows","created":"2023-02-11","cited_by_count":28,"area":null},{"id":"2310.02823","title":"Learning to Scale Logits for Temperature-Conditional GFlowNets","created":"2023-10-04","cited_by_count":27,"area":null},{"id":"2310.03301","title":"Learning Energy Decompositions for Partial Inference of GFlowNets","created":"2023-10-05","cited_by_count":24,"area":null},{"id":"2410.01432","title":"Adaptive teachers for amortized samplers","created":"2024-10-02","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":"2306.04620","title":"Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design","created":"2023-06-07","cited_by_count":17,"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":"2502.17100","title":"Generative Models in Decision Making: A Survey","created":"2025-02-24","cited_by_count":15,"area":null},{"id":"2405.16012","title":"Pessimistic Backward Policy for GFlowNets","created":"2024-05-25","cited_by_count":14,"area":null},{"id":"2310.00386","title":"Order-Preserving GFlowNets","created":"2023-09-30","cited_by_count":13,"area":null},{"id":"2305.14594","title":"torchgfn: A PyTorch GFlowNet library","created":"2023-05-24","cited_by_count":11,"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":"2309.12032","title":"Expert-Aided Causal Discovery of Ancestral Graphs","created":"2023-09-21","cited_by_count":8,"area":null},{"id":"2306.01276","title":"Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization","created":"2023-06-02","cited_by_count":7,"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":"2406.05426","title":"Baking Symmetry into GFlowNets","created":"2024-06-08","cited_by_count":7,"area":null},{"id":"2506.02685","title":"Symmetry-Aware GFlowNets","created":"2025-06-03","cited_by_count":7,"area":null},{"id":"2510.04792","title":"Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems","created":"2025-10-06","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":"2408.15905","title":"MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets","created":"2024-08-28","cited_by_count":6,"area":null},{"id":"2410.09355","title":"On Divergence Measures for Training GFlowNets","created":"2024-10-12","cited_by_count":6,"area":null},{"id":"2412.17018","title":"GAS: Generative Auto-bidding with Post-training Search","created":"2024-12-22","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":"2505.15251","title":"Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets","created":"2025-05-21","cited_by_count":5,"area":null},{"id":"2509.03348","title":"Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner","created":"2025-09-03","cited_by_count":5,"area":null},{"id":"2402.02186","title":"Evolution Guided Generative Flow Networks","created":"2024-02-03","cited_by_count":4,"area":null},{"id":"2411.05899","title":"Streaming Bayes GFlowNets","created":"2024-11-08","cited_by_count":4,"area":null},{"id":"2502.01117","title":"Learning to Learn Weight Generation via Local Consistency Diffusion","created":"2025-02-03","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":"2406.03288","title":"Embarrassingly Parallel GFlowNets","created":"2024-06-05","cited_by_count":3,"area":null},{"id":"2407.03105","title":"On Generalization for Generative Flow Networks","created":"2024-07-03","cited_by_count":3,"area":null},{"id":"2505.02035","title":"Secrets of GFlowNets' Learning Behavior: A Theoretical Study","created":"2025-05-04","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":"2306.15058","title":"BatchGFN: Generative Flow Networks for Batch Active Learning","created":"2023-06-26","cited_by_count":2,"area":null},{"id":"2310.01807","title":"Discrete, compositional, and symbolic representations through attractor dynamics","created":"2023-10-03","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":"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":"2406.01901","title":"Bifurcated Generative Flow Networks","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2506.16313","title":"Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2509.15927","title":"Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search","created":"2025-09-19","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":"2608.03967","title":"Information-Geometric Forward Policy Training in GFlowNets","created":"2026-08-04","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":"2506.12033","title":"EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2510.00805","title":"Planning-Augmented Sampling with Early Guidance for High-Reward Discovery","created":"2025-10-01","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":"2601.21061","title":"Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks","created":"2026-01-28","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":"2602.03358","title":"GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.10583","title":"Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2603.17301","title":"WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation","created":"2026-03-18","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":"2609.11538","title":"Particle GFlowNets: Rethinking Generative Marginalization Models","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2610.07562","title":"Learning a Mixture of GFlowNets","created":"2026-10-06","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}],"next_cursor":null}