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

29 papers, page 1 of 1

1. NeurIPS 2024A Generative Model of Symmetry Transformations
2. NeurIPS 2024ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
3. NeurIPS 2024AirSketch: Generative Motion to Sketch
4. NeurIPS 2024ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
5. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
6. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
7. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
8. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
9. NeurIPS 2024Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
10. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
11. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
12. NeurIPS 2024Functional Gradient Flows for Constrained Sampling
13. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
14. NeurIPS 2024Generative Forests
15. NeurIPS 2024Generative Fractional Diffusion Models
16. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
17. NeurIPS 2024Improving the Training of Rectified Flows
18. NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
19. NeurIPS 2024Learning diffusion at lightspeed
20. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
21. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
22. NeurIPS 2024Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
23. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
24. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
25. NeurIPS 2024Navigating Chemical Space with Latent Flows
26. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
27. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
28. NeurIPS 2024Preferential Normalizing Flows
29. NeurIPS 2024Transferable Boltzmann Generators

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.