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

32 papers, page 1 of 1

1. ICML 2026A Theoretical Framework for Statistical Evaluability of Generative Models
2. ICML 2026A Unifying View of Variational Generative Wasserstein Flows
3. ICML 2026Adapting Noise to Data: Generative Flows from Learned 1D Processes
4. ICML 2026Analytic Bijections for Smooth and Interpretable Normalizing Flows
5. ICML 2026Calibrating Generative Models to Distributional Constraints
6. ICML 2026Compositional Planning with Jumpy World Models
7. ICML 2026Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
8. ICML 2026Distribution Matching Variational AutoEncoder
9. ICML 2026Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
10. ICML 2026Generative Augmented Inference
11. ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
12. ICML 2026Improving LLM-Based Recommenders with Conservative Generative Flow Networks
13. ICML 2026Infinite-Dimensional Generative Diffusions via Doob’s h-Transform
14. ICML 2026Learning Discrete Diffusion on Graphs via Free-Energy Gradient Flows
15. ICML 2026Learning-to-Optimize via Deep Unfolded Flows
16. ICML 2026Manifold-Aware Perturbations for Constrained Generative Modeling
17. ICML 2026MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
18. ICML 2026Normalizing Flows with Iterative Denoising
19. ICML 2026Overclocking Electrostatic Generative Models
20. ICML 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learning
21. ICML 2026Quantum latent distributions in deep generative models
22. ICML 2026Revisiting Spectral Representations in Generative Diffusion Models
23. ICML 2026Scalable GANs with Transformers
24. ICML 2026SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
25. ICML 2026Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows
26. ICML 2026SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
27. ICML 2026Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
28. ICML 2026Trajectory Consistency for One-Step Generation on Euler Mean Flows
29. ICML 2026Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
30. ICML 2026Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
31. ICML 2026Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path
32. ICML 2026XYZFlow: Scaling Multidimensional Shortcut Flows for Efficient Generative Modeling

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.