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

26 papers, page 1 of 1

1. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
2. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
3. ICML 2023Conditionally Strongly Log-Concave Generative Models
4. ICML 2023Data-Copying in Generative Models: A Formal Framework
5. ICML 2023Disentangled Generative Models for Robust Prediction of System Dynamics
6. ICML 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
7. ICML 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
8. ICML 2023Latent Traversals in Generative Models as Potential Flows
9. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
10. ICML 2023MixFlows: principled variational inference via mixed flows
11. ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
12. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
13. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
14. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
15. ICML 2023Normalizing Flows for Interventional Density Estimation
16. ICML 2023On Kinetic Optimal Probability Paths for Generative Models
17. ICML 2023On Provable Copyright Protection for Generative Models
18. ICML 2023Poisoning Generative Replay in Continual Learning to Promote Forgetting
19. ICML 2023Predictive Flows for Faster Ford-Fulkerson
20. ICML 2023Proper Losses for Discrete Generative Models
21. ICML 2023Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
22. ICML 2023Restoration based Generative Models
23. ICML 2023Rigid Body Flows for Sampling Molecular Crystal Structures
24. ICML 2023Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
25. ICML 2023Training Normalizing Flows from Dependent Data
26. ICML 2023Unveiling the Latent Space Geometry of Push-Forward Generative 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.