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 26 篇，第 1 / 1 页

1. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
2. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
3. ICML 2023Conditionally Strongly Log-Concave Generative Models
4. ICML 2023Data-Copying in Generative Models: A Formal Framework
5. ICML 2023Disentangled Generative Models for Robust Prediction of System Dynamics
6. ICML 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
7. ICML 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
8. ICML 2023Latent Traversals in Generative Models as Potential Flows
9. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
10. ICML 2023MixFlows: principled variational inference via mixed flows
11. ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
12. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
13. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
14. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
15. ICML 2023Normalizing Flows for Interventional Density Estimation
16. ICML 2023On Kinetic Optimal Probability Paths for Generative Models
17. ICML 2023On Provable Copyright Protection for Generative Models
18. ICML 2023Poisoning Generative Replay in Continual Learning to Promote Forgetting
19. ICML 2023Predictive Flows for Faster Ford-Fulkerson
20. ICML 2023Proper Losses for Discrete Generative Models
21. ICML 2023Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
22. ICML 2023Restoration based Generative Models
23. ICML 2023Rigid Body Flows for Sampling Molecular Crystal Structures
24. ICML 2023Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
25. ICML 2023Training Normalizing Flows from Dependent Data
26. ICML 2023Unveiling the Latent Space Geometry of Push-Forward Generative Models

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。