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 4 of 9

151. CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
152. CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
153. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
154. CVPR 2025PERSE: Personalized 3D Generative Avatars from A Single Portrait
155. CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
156. CVPR 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
157. CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
158. CVPR 2025Symbolic Representation for Any-to-Any Generative Tasks
159. CVPR 2025Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
160. CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
161. CVPR 2025Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
162. ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
163. ICLR 2025Boosting Latent Diffusion with Perceptual Objectives
164. ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
165. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
166. ICLR 2025CoInD: Enabling Logical Compositions in Diffusion Models
167. ICLR 2025Consistency Models Made Easy
168. ICLR 2025CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
169. ICLR 2025CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction
170. ICLR 2025cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
171. ICLR 2025Data Unlearning in Diffusion Models
172. ICLR 2025Deep MMD Gradient Flow without adversarial training
173. ICLR 2025Designing Mechanical Meta-Materials by Learning Equivariant Flows
174. ICLR 2025Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
175. ICLR 2025FaceShot: Bring Any Character into Life
176. ICLR 2025Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
177. ICLR 2025Flow matching achieves almost minimax optimal convergence
178. ICLR 2025Generative Flows on Synthetic Pathway for Drug Design
179. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
180. ICLR 2025Heavy-Tailed Diffusion Models
181. ICLR 2025Injective flows for star-like manifolds
182. ICLR 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows
183. ICLR 2025Multilevel Generative Samplers for Investigating Critical Phenomena
184. ICLR 2025MuPT: A Generative Symbolic Music Pretrained Transformer
185. ICLR 2025Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
186. ICLR 2025No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
187. ICLR 2025Not-So-Optimal Transport Flows for 3D Point Cloud Generation
188. ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
189. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
190. ICLR 2025PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
191. ICLR 2025Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
192. ICLR 2025Restructuring Vector Quantization with the Rotation Trick
193. ICLR 2025Think while You Generate: Discrete Diffusion with Planned Denoising
194. ICLR 2025Topological Schrödinger Bridge Matching
195. ICLR 2025Towards Hierarchical Rectified Flow
196. ICLR 2025Truncated Consistency Models
197. ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
198. ICML 2025AffinityFlow: Guided Flows for Antibody Affinity Maturation
199. ICML 2025An Error Analysis of Flow Matching for Deep Generative Modeling
200. ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions

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.