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

35 papers, page 1 of 1

1. ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
2. ICLR 2025Boosting Latent Diffusion with Perceptual Objectives
3. ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
4. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
5. ICLR 2025CoInD: Enabling Logical Compositions in Diffusion Models
6. ICLR 2025Consistency Models Made Easy
7. ICLR 2025CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
8. ICLR 2025CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction
9. ICLR 2025cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
10. ICLR 2025Data Unlearning in Diffusion Models
11. ICLR 2025Deep MMD Gradient Flow without adversarial training
12. ICLR 2025Designing Mechanical Meta-Materials by Learning Equivariant Flows
13. ICLR 2025Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
14. ICLR 2025FaceShot: Bring Any Character into Life
15. ICLR 2025Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
16. ICLR 2025Flow matching achieves almost minimax optimal convergence
17. ICLR 2025Generative Flows on Synthetic Pathway for Drug Design
18. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
19. ICLR 2025Heavy-Tailed Diffusion Models
20. ICLR 2025Injective flows for star-like manifolds
21. ICLR 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows
22. ICLR 2025Multilevel Generative Samplers for Investigating Critical Phenomena
23. ICLR 2025MuPT: A Generative Symbolic Music Pretrained Transformer
24. ICLR 2025Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
25. ICLR 2025No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
26. ICLR 2025Not-So-Optimal Transport Flows for 3D Point Cloud Generation
27. ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
28. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
29. ICLR 2025PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
30. ICLR 2025Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
31. ICLR 2025Restructuring Vector Quantization with the Rotation Trick
32. ICLR 2025Think while You Generate: Discrete Diffusion with Planned Denoising
33. ICLR 2025Topological Schrödinger Bridge Matching
34. ICLR 2025Towards Hierarchical Rectified Flow
35. ICLR 2025Truncated Consistency Models

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.