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 46 篇，第 1 / 1 页

1. NeurIPS 2026Active Learning for Conditional Generative Compressed Sensing
2. NeurIPS 2026Active Learning of Conditional Generative Models via the Transport Neural Tangent Kernel
3. NeurIPS 2026Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
4. NeurIPS 2026Beckmann Transport Models: From Autonomous Flows to One-Step Maps
5. NeurIPS 2026Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
6. NeurIPS 2026ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing
7. NeurIPS 2026Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
8. NeurIPS 2026Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking
9. NeurIPS 2026Contact Geometry for Generative Models: An Unbalanced Optimal Transport Formulation
10. NeurIPS 2026CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
11. NeurIPS 2026Deep Learning-based Algebraic Reynolds Stress Closures for RANS simulations of Turbulent Flows
12. NeurIPS 2026Discrete Diffusion Playground: A 2D Benchmark for Discrete Generative Models
13. NeurIPS 2026Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors
14. NeurIPS 2026Enhanced convergence guarantees of score-based generative models in $\mathcal{W}_2$-distance beyond log-concavity
15. NeurIPS 2026Entropy Distribution as a Fingerprint for Hallucinations in Generative Models
16. NeurIPS 2026Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models
17. NeurIPS 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
18. NeurIPS 2026FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
19. NeurIPS 2026From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
20. NeurIPS 2026From Jumps to Signatures: a Generative Method for Temporal Point Processes
21. NeurIPS 2026Generative Conformal Prediction with Optimized Coverage Allocation
22. NeurIPS 2026Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification
23. NeurIPS 2026Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows
24. NeurIPS 2026GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction
25. NeurIPS 2026HyperTransport: Amortized Conditioning of T2I Generative Models
26. NeurIPS 2026JaSpec-LID: Local Intrinsic Dimension Estimation via Jacobian Spectra of ODE-based Generative Models
27. NeurIPS 2026Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation
28. NeurIPS 2026Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
29. NeurIPS 2026LLM-Auction: Generative Auction towards LLM-Native Advertising
30. NeurIPS 2026MIND: Monge Inception Distance for Generative Models Evaluation
31. NeurIPS 2026Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
32. NeurIPS 2026Normalizing Flows are Capable Trajectory Planners
33. NeurIPS 2026Normalizing Trajectory Models
34. NeurIPS 2026One-Shot Generative Flows: Existence and Obstructions
35. NeurIPS 2026Path-independent Flow Matching for Multi-parameter Generative Dynamics
36. NeurIPS 2026PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
37. NeurIPS 2026PRISM:Disentangling Preference Distributions for Generative Ranking
38. NeurIPS 2026ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
39. NeurIPS 2026RA-ClipScore: Making Generative Model Evaluation More Interpretable
40. NeurIPS 2026RGF: Recursive Generative Framework for the Edge-Cut Separable Problems
41. NeurIPS 2026Spherical Flows for Sampling Categorical Data
42. NeurIPS 2026State Augmented Flows
43. NeurIPS 2026Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
44. NeurIPS 2026Wasserstein residuals: Learning Gradient Flows from Population Dynamics
45. NeurIPS 2026When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds
46. NeurIPS 2026Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion 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。