Generative Flows papers, 2023–2026

Key findings

• Generative Flows went from 73 papers in 2023 to 139 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Generative Flows work: 130 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 1 in 2023 to 5 in 2026.
• Among the 5 topics under Probabilistic and Bayesian, it ranks #3 by 2026 paper count; the fastest grower in the group, Gaussian Processes, is up 2.2x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Generative Flows papers

429 papers, page 1 of 9

1. CVPR 2026Affostruction 3D Affordance Grounding with Generative Reconstruction
2. CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
3. CVPR 2026Attention May I Have Your Decision Localizing Generative Choices in
4. CVPR 2026Back to Basics Let Denoising Generative Models Denoise
5. CVPR 2026BUSSARD Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection
6. CVPR 2026CraftMesh High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion
7. CVPR 2026Exploring Spatial Intelligence from a Generative Perspective
8. CVPR 2026From Inpainting to Layer Decomposition Repurposing Generative Inpainting Models for
9. CVPR 2026Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
10. CVPR 2026GenMatter Perceiving Physical Objects with Generative Matter Models
11. CVPR 2026GenTract Generative Global Tractography
12. CVPR 2026HierAmp Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation
13. CVPR 2026Improved Mean Flows On the Challenges of Fastforward Generative Models
14. CVPR 2026IncreFA Breaking the Static Wall of Generative Model Attribution
15. CVPR 2026Lafite A Generative Latent Field for 3D Native Texturing
16. CVPR 2026Making Training-Free Diffusion Segmentors Scale with the Generative Power
17. CVPR 2026Nonlinear Color Transfer via Learnable Bezier Flows
18. CVPR 2026PGA Prior-free Generative Attack for Practical No-box Scenario
19. CVPR 2026SAGA Source Attribution of Generative AI Videos
20. CVPR 2026ShowUI-p Flow-based Generative Models as GUI Dexterous Hands
21. CVPR 2026STARFlow-V End-to-End Video Generative Modeling with Autoregressive Normalizing Flows
22. CVPR 2026TGTrack Temporal Generative Learning for Unified Single Object Tracking
23. CVPR 2026Transition Models Rethinking the Generative Learning Objective
24. CVPR 2026UniTEX Universal High Fidelity Generative Texturing for 3D Shapes
25. ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
26. ICLR 2026Accelerated Parallel Tempering via Neural Transports
27. ICLR 2026AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport
28. ICLR 2026Antithetic Noise in Diffusion Models
29. ICLR 2026Any-Order Flexible Length Masked Diffusion
30. ICLR 2026Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
31. ICLR 2026Carré du champ flow matching: better quality-generalisation tradeoff in generative models
32. ICLR 2026Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators
33. ICLR 2026FALCON: Few-step Accurate Likelihoods for Continuous Flows
34. ICLR 2026FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
35. ICLR 2026FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
36. ICLR 2026From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments
37. ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
38. ICLR 2026GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
39. ICLR 2026Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
40. ICLR 2026GenCtrl -- A Formal Controllability Toolkit for Generative Models
41. ICLR 2026Generative Blocks World: Moving Things Around in Pictures
42. ICLR 2026Generative Universal Verifier as Multimodal Meta-Reasoner
43. ICLR 2026HoloPart: Generative 3D Part Amodal Segmentation
44. ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
45. ICLR 2026Latent Stochastic Interpolants
46. ICLR 2026Measurement Score-Based Diffusion Model
47. ICLR 2026Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance
48. ICLR 2026Much Ado About Noising: Dispelling the Myths of Generative Robotic Control
49. ICLR 2026Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
50. ICLR 2026Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery

FAQ

How many Generative Flows papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

429 in total: 73 in 2023, 98 in 2024, 119 in 2025, 139 in 2026.

How many Generative Flows papers are at NeurIPS 2026?

NeurIPS 2026 has 46 Generative Flows papers, versus 37 the year before.

How many Generative Flows papers are at ICLR 2026?

ICLR 2026 has 37 Generative Flows papers, versus 35 the year before.

How many Generative Flows papers are at ICML 2026?

ICML 2026 has 32 Generative Flows papers, versus 25 the year before.

How many Generative Flows papers are at CVPR 2026?

CVPR 2026 has 24 Generative Flows papers, versus 22 the year before.

Which conference publishes the most Generative Flows papers?

NeurIPS, with 130 papers from 2023 to 2026.