generative flow network

Amortizing intractable inference in large language models ICLR 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ICLR 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 Expected flow networks in stochastic environments and two-player zero-sum games ICLR 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 GFlowNet Assisted Biological Sequence Editing NeurIPS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Improving Gradient-Guided Nested Sampling for Posterior Inference ICML 2024 Learning Energy Decompositions for Partial Inference in GFlowNets ICLR 2024 Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) AAAI 2024 Local Search GFlowNets ICLR 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 Order-Preserving GFlowNets ICLR 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 PhyloGFN: Phylogenetic inference with generative flow networks ICLR 2024 Pre-Training and Fine-Tuning Generative Flow Networks ICLR 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 Streaming Bayes GFlowNets NeurIPS 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 A theory of continuous generative flow networks ICML 2023 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023