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

429 papers, page 6 of 9

251. NeurIPS 2025SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
252. NeurIPS 2025Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
253. NeurIPS 2025Sequence Modeling with Spectral Mean Flows
254. NeurIPS 2025Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
255. NeurIPS 2025STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
256. NeurIPS 2025TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
257. NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
258. NeurIPS 2025When Models Don’t Collapse: On the Consistency of Iterative MLE
259. CVPR 2024All Rivers Run to the Sea: Private Learning with Asymmetric Flows
260. CVPR 2024Boosting Flow-based Generative Super-Resolution Models via Learned Prior
261. CVPR 2024CityDreamer: Compositional Generative Model of Unbounded 3D Cities
262. CVPR 2024DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
263. CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
264. CVPR 2024DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
265. CVPR 2024En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
266. CVPR 2024G3DR: Generative 3D Reconstruction in ImageNet
267. CVPR 2024Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
268. CVPR 2024Generative Multimodal Models are In-Context Learners
269. CVPR 2024Generative Powers of Ten
270. CVPR 2024Generative Quanta Color Imaging
271. CVPR 2024Generative Unlearning for Any Identity
272. CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative Priors
273. CVPR 2024MaskPLAN: Masked Generative Layout Planning from Partial Input
274. CVPR 2024MMM: Generative Masked Motion Model
275. CVPR 2024Mosaic-SDF for 3D Generative Models
276. CVPR 2024NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
277. CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
278. CVPR 2024Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
279. CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
280. CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
281. CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
282. CVPR 2024Would Deep Generative Models Amplify Bias in Future Models?
283. ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
284. ICLR 2024Bespoke Solvers for Generative Flow Models
285. ICLR 2024Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
286. ICLR 2024Emu: Generative Pretraining in Multimodality
287. ICLR 2024Fast and unified path gradient estimators for normalizing flows
288. ICLR 2024GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
289. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
290. ICLR 2024Idempotent Generative Network
291. ICLR 2024Kernelised Normalising Flows
292. ICLR 2024Lifting Architectural Constraints of Injective Flows
293. ICLR 2024Light Schrödinger Bridge
294. ICLR 2024LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
295. ICLR 2024Modelling complex vector drawings with stroke-clouds
296. ICLR 2024On the Stability of Iterative Retraining of Generative Models on their own Data
297. ICLR 2024Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
298. ICLR 2024SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
299. ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
300. ICLR 2024The Generative AI Paradox: “What It Can Create, It May Not Understand”

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.