生成流论文趋势 2023–2026

Normalizing flows

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 429 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

生成流论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231817261273
20242918272498
202537352522119
202646373224139

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

全部生成流论文

共 107 篇,第 2 / 3 页

  1. ICLR 2025FaceShot: Bring Any Character into Life
  2. ICLR 2025Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
  3. ICLR 2025Flow matching achieves almost minimax optimal convergence
  4. ICLR 2025Generative Flows on Synthetic Pathway for Drug Design
  5. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
  6. ICLR 2025Heavy-Tailed Diffusion Models
  7. ICLR 2025Injective flows for star-like manifolds
  8. ICLR 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows
  9. ICLR 2025Multilevel Generative Samplers for Investigating Critical Phenomena
  10. ICLR 2025MuPT: A Generative Symbolic Music Pretrained Transformer
  11. ICLR 2025Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
  12. ICLR 2025No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
  13. ICLR 2025Not-So-Optimal Transport Flows for 3D Point Cloud Generation
  14. ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
  15. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
  16. ICLR 2025PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
  17. ICLR 2025Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
  18. ICLR 2025Restructuring Vector Quantization with the Rotation Trick
  19. ICLR 2025Think while You Generate: Discrete Diffusion with Planned Denoising
  20. ICLR 2025Topological Schrödinger Bridge Matching
  21. ICLR 2025Towards Hierarchical Rectified Flow
  22. ICLR 2025Truncated Consistency Models
  23. ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
  24. ICLR 2024Bespoke Solvers for Generative Flow Models
  25. ICLR 2024Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
  26. ICLR 2024Emu: Generative Pretraining in Multimodality
  27. ICLR 2024Fast and unified path gradient estimators for normalizing flows
  28. ICLR 2024GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
  29. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
  30. ICLR 2024Idempotent Generative Network
  31. ICLR 2024Kernelised Normalising Flows
  32. ICLR 2024Lifting Architectural Constraints of Injective Flows
  33. ICLR 2024Light Schrödinger Bridge
  34. ICLR 2024LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
  35. ICLR 2024Modelling complex vector drawings with stroke-clouds
  36. ICLR 2024On the Stability of Iterative Retraining of Generative Models on their own Data
  37. ICLR 2024Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
  38. ICLR 2024SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
  39. ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
  40. ICLR 2024The Generative AI Paradox: “What It Can Create, It May Not Understand”
  41. ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
  42. ICLR 2023Better Generative Replay for Continual Federated Learning
  43. ICLR 2023Blurring Diffusion Models
  44. ICLR 2023Building Normalizing Flows with Stochastic Interpolants
  45. ICLR 2023Deterministic training of generative autoencoders using invertible layers
  46. ICLR 2023Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
  47. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
  48. ICLR 2023Flow Annealed Importance Sampling Bootstrap
  49. ICLR 2023Flow Matching for Generative Modeling
  50. ICLR 2023Generative Augmented Flow Networks

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查生成流在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "generative-flows"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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