生成流论文趋势 2023–2026

主要结论

• 生成流论文从 2023 年的 73 篇增长到 2026 年的 139 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发生成流论文最多的会议，2023–2026 年共 130 篇，占四个会议总量的 30%。
• 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的高斯过程是 2.2 倍，生成流是 1.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
• ICML 2026Learning-to-Optimize via Deep Unfolded Flows
• ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
• CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
• NeurIPS 2025Amortized Sampling with Transferable Normalizing Flows
• ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
• ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
• CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
• NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
• ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
• ICLR 2024Fast and unified path gradient estimators for normalizing flows
• CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
• NeurIPS 2023Canonical normalizing flows for manifold learning
• ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
• ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
• CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• NeurIPS 2026From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
• ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
• ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
• CVPR 2026BUSSARD Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection

全部生成流论文

共 32 篇，第 1 / 1 页

1. ICML 2026A Theoretical Framework for Statistical Evaluability of Generative Models
2. ICML 2026A Unifying View of Variational Generative Wasserstein Flows
3. ICML 2026Adapting Noise to Data: Generative Flows from Learned 1D Processes
4. ICML 2026Analytic Bijections for Smooth and Interpretable Normalizing Flows
5. ICML 2026Calibrating Generative Models to Distributional Constraints
6. ICML 2026Compositional Planning with Jumpy World Models
7. ICML 2026Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
8. ICML 2026Distribution Matching Variational AutoEncoder
9. ICML 2026Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
10. ICML 2026Generative Augmented Inference
11. ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
12. ICML 2026Improving LLM-Based Recommenders with Conservative Generative Flow Networks
13. ICML 2026Infinite-Dimensional Generative Diffusions via Doob’s h-Transform
14. ICML 2026Learning Discrete Diffusion on Graphs via Free-Energy Gradient Flows
15. ICML 2026Learning-to-Optimize via Deep Unfolded Flows
16. ICML 2026Manifold-Aware Perturbations for Constrained Generative Modeling
17. ICML 2026MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
18. ICML 2026Normalizing Flows with Iterative Denoising
19. ICML 2026Overclocking Electrostatic Generative Models
20. ICML 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learning
21. ICML 2026Quantum latent distributions in deep generative models
22. ICML 2026Revisiting Spectral Representations in Generative Diffusion Models
23. ICML 2026Scalable GANs with Transformers
24. ICML 2026SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
25. ICML 2026Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows
26. ICML 2026SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
27. ICML 2026Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
28. ICML 2026Trajectory Consistency for One-Step Generation on Euler Mean Flows
29. ICML 2026Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
30. ICML 2026Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
31. ICML 2026Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path
32. ICML 2026XYZFlow: Scaling Multidimensional Shortcut Flows for Efficient Generative Modeling

常见问题

2023–2026 年四大会议一共有多少篇生成流论文？

共 429 篇，按年份分别是 2023 年 73 篇、2024 年 98 篇、2025 年 119 篇、2026 年 139 篇。

NeurIPS 2026 有多少篇生成流论文？

NeurIPS 2026 有 46 篇生成流论文，上一届是 37 篇。

ICLR 2026 有多少篇生成流论文？

ICLR 2026 有 37 篇生成流论文，上一届是 35 篇。

ICML 2026 有多少篇生成流论文？

ICML 2026 有 32 篇生成流论文，上一届是 25 篇。

CVPR 2026 有多少篇生成流论文？

CVPR 2026 有 24 篇生成流论文，上一届是 22 篇。

哪个会议的生成流论文最多？

NeurIPS，2023–2026 年共 130 篇。