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 8 of 9

351. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
352. NeurIPS 2024Navigating Chemical Space with Latent Flows
353. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
354. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
355. NeurIPS 2024Preferential Normalizing Flows
356. NeurIPS 2024Transferable Boltzmann Generators
357. CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
358. CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
359. CVPR 2023GaitGCI: Generative Counterfactual Intervention for Gait Recognition
360. CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
361. CVPR 2023Generalizing Dataset Distillation via Deep Generative Prior
362. CVPR 2023Generative Semantic Segmentation
363. CVPR 2023Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
364. CVPR 2023Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
365. CVPR 2023Persistent Nature: A Generative Model of Unbounded 3D Worlds
366. CVPR 2023PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
367. CVPR 2023RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models
368. CVPR 2023SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
369. ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
370. ICLR 2023Better Generative Replay for Continual Federated Learning
371. ICLR 2023Blurring Diffusion Models
372. ICLR 2023Building Normalizing Flows with Stochastic Interpolants
373. ICLR 2023Deterministic training of generative autoencoders using invertible layers
374. ICLR 2023Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
375. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
376. ICLR 2023Flow Annealed Importance Sampling Bootstrap
377. ICLR 2023Flow Matching for Generative Modeling
378. ICLR 2023Generative Augmented Flow Networks
379. ICLR 2023GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
380. ICLR 2023Hierarchical Sliced Wasserstein Distance
381. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
382. ICLR 2023MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
383. ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
384. ICLR 2023Quantized Compressed Sensing with Score-Based Generative Models
385. ICLR 2023Structure by Architecture: Structured Representations without Regularization
386. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
387. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
388. ICML 2023Conditionally Strongly Log-Concave Generative Models
389. ICML 2023Data-Copying in Generative Models: A Formal Framework
390. ICML 2023Disentangled Generative Models for Robust Prediction of System Dynamics
391. ICML 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
392. ICML 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
393. ICML 2023Latent Traversals in Generative Models as Potential Flows
394. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
395. ICML 2023MixFlows: principled variational inference via mixed flows
396. ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
397. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
398. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
399. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
400. ICML 2023Normalizing Flows for Interventional Density Estimation

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.