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

98 papers, page 2 of 2

51. ICML 2024Generative Active Learning for Long-tailed Instance Segmentation
52. ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
53. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
54. ICML 2024Generative Marginalization Models
55. ICML 2024Genie: Generative Interactive Environments
56. ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
57. ICML 2024HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
58. ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
59. ICML 2024Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
60. ICML 2024Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
61. ICML 2024Masked Face Recognition with Generative-to-Discriminative Representations
62. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
63. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
64. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
65. ICML 2024Reflected Flow Matching
66. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
67. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
68. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
69. ICML 2024Timer: Generative Pre-trained Transformers Are Large Time Series Models
70. NeurIPS 2024A Generative Model of Symmetry Transformations
71. NeurIPS 2024ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
72. NeurIPS 2024AirSketch: Generative Motion to Sketch
73. NeurIPS 2024ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
74. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
75. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
76. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
77. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
78. NeurIPS 2024Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
79. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
80. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
81. NeurIPS 2024Functional Gradient Flows for Constrained Sampling
82. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
83. NeurIPS 2024Generative Forests
84. NeurIPS 2024Generative Fractional Diffusion Models
85. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
86. NeurIPS 2024Improving the Training of Rectified Flows
87. NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
88. NeurIPS 2024Learning diffusion at lightspeed
89. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
90. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
91. NeurIPS 2024Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
92. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
93. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
94. NeurIPS 2024Navigating Chemical Space with Latent Flows
95. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
96. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
97. NeurIPS 2024Preferential Normalizing Flows
98. NeurIPS 2024Transferable Boltzmann Generators

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.