{"total":35,"rows":[{"id":"2308.08708","title":"Consciousness in Artificial Intelligence: Insights from the Science of Consciousness","created":"2023-08-17","cited_by_count":104,"area":null},{"id":"2310.04363","title":"Amortizing intractable inference in large language models","created":"2023-10-06","cited_by_count":97,"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":"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":"2306.17693","title":"Thompson sampling for improved exploration in GFlowNets","created":"2023-06-30","cited_by_count":32,"area":null},{"id":"2310.10003","title":"Conformal Contextual Robust Optimization","created":"2023-10-16","cited_by_count":25,"area":null},{"id":"2410.01432","title":"Adaptive teachers for amortized samplers","created":"2024-10-02","cited_by_count":23,"area":null},{"id":"2310.08774","title":"PhyloGFN: Phylogenetic inference with generative flow networks","created":"2023-10-12","cited_by_count":22,"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":"2307.01422","title":"Generative Flow Networks: a Markov Chain Perspective","created":"2023-07-04","cited_by_count":14,"area":null},{"id":"2408.05284","title":"Can a Bayesian Oracle Prevent Harm from an Agent?","created":"2024-08-09","cited_by_count":13,"area":null},{"id":"2410.14817","title":"A Complexity-Based Theory of Compositionality","created":"2024-10-18","cited_by_count":13,"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":"2309.12032","title":"Expert-Aided Causal Discovery of Ancestral Graphs","created":"2023-09-21","cited_by_count":8,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"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":"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":"2510.11711","title":"Reinforced sequential Monte Carlo for amortised sampling","created":"2025-10-13","cited_by_count":6,"area":null},{"id":"2411.05899","title":"Streaming Bayes GFlowNets","created":"2024-11-08","cited_by_count":4,"area":null},{"id":"2406.03288","title":"Embarrassingly Parallel GFlowNets","created":"2024-06-05","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":"2310.01807","title":"Discrete, compositional, and symbolic representations through attractor dynamics","created":"2023-10-03","cited_by_count":2,"area":null},{"id":"2412.18827","title":"PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation","created":"2024-12-25","cited_by_count":2,"area":null},{"id":"2503.06985","title":"Learning Decision Trees as Amortized Structure Inference","created":"2025-03-10","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":"2608.03967","title":"Information-Geometric Forward Policy Training in GFlowNets","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2404.05576","title":"Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2506.20504","title":"Engineering Sentience","created":"2025-06-25","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":"2609.11538","title":"Particle GFlowNets: Rethinking Generative Marginalization Models","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}