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 7 of 9

301. ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
302. ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
303. ICML 2024A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
304. ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
305. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
306. ICML 2024COPAL: Continual Pruning in Large Language Generative Models
307. ICML 2024DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
308. ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
309. ICML 2024Generative Active Learning for Long-tailed Instance Segmentation
310. ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
311. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
312. ICML 2024Generative Marginalization Models
313. ICML 2024Genie: Generative Interactive Environments
314. ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
315. ICML 2024HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
316. ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
317. ICML 2024Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
318. ICML 2024Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
319. ICML 2024Masked Face Recognition with Generative-to-Discriminative Representations
320. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
321. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
322. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
323. ICML 2024Reflected Flow Matching
324. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
325. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
326. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
327. ICML 2024Timer: Generative Pre-trained Transformers Are Large Time Series Models
328. NeurIPS 2024A Generative Model of Symmetry Transformations
329. NeurIPS 2024ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
330. NeurIPS 2024AirSketch: Generative Motion to Sketch
331. NeurIPS 2024ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
332. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
333. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
334. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
335. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
336. NeurIPS 2024Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
337. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
338. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
339. NeurIPS 2024Functional Gradient Flows for Constrained Sampling
340. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
341. NeurIPS 2024Generative Forests
342. NeurIPS 2024Generative Fractional Diffusion Models
343. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
344. NeurIPS 2024Improving the Training of Rectified Flows
345. NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
346. NeurIPS 2024Learning diffusion at lightspeed
347. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
348. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
349. NeurIPS 2024Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
350. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

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.