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

18 papers, page 1 of 1

1. NeurIPS 2023$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
2. NeurIPS 2023A generative model of the hippocampal formation trained with theta driven local learning rules
3. NeurIPS 2023A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
4. NeurIPS 2023Canonical normalizing flows for manifold learning
5. NeurIPS 2023Causal normalizing flows: from theory to practice
6. NeurIPS 2023DiffComplete: Diffusion-based Generative 3D Shape Completion
7. NeurIPS 2023Equivariant flow matching
8. NeurIPS 2023FlowPG: Action-constrained Policy Gradient with Normalizing Flows
9. NeurIPS 2023Generator Born from Classifier
10. NeurIPS 2023L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
11. NeurIPS 2023Learning a 1-layer conditional generative model in total variation
12. NeurIPS 2023Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
13. NeurIPS 2023One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
14. NeurIPS 2023Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
15. NeurIPS 2023Reliable Off-Policy Learning for Dosage Combinations
16. NeurIPS 2023SE(3) Equivariant Augmented Coupling Flows
17. NeurIPS 2023Spontaneous symmetry breaking in generative diffusion models
18. NeurIPS 2023Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system

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.