Normalizing Flows

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Period ending 2026-09-21

1 new paper

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Period ending 2026-09-14

3 new papers

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Period ending 2026-09-07

1 new paper

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53 papers

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  1. Learning CNF Formulas from Uniform Random Solutions: Near-Tight Sample Complexity for Valiant's Algorithm

    Sep 14, 2026Weiming Feng, Yixiao Yu, Yiyao ZhangOptimal Sample ComplexityNormalizing Flows

  2. Likelihood-free inference with nuisance parameters through normalizing flows

    Sep 9, 2026Phil AsshetonNormalizing FlowsMaximum Likelihood

  3. Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation

    Sep 8, 2026Qi Feng, Rongjie Lai, Di Qi +1Normalizing FlowsBoltzmann Distributions

  4. αα-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

    Sep 7, 2026Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3Graph Representation LearningGraph Neural Networks

  5. Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem

    Sep 3, 2026Yang Zhao, Junxiong Jia, Tao ZhouIll-Posed Inverse ProblemNormalizing Flows

  6. Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation

    Aug 13, 2026Emilia Majerz, Jacek Otwinowski, Witold Dzwinel +1High Energy PhysicsNormalizing Flows

  7. You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows

    Aug 10, 2026Jonas Leo Mueller, Sebastian Hoefler, Dario Zanca +3Light Detection And Ranging Point CloudsNormalizing Flows

  8. Potential Matching Optimal Transport: Continuous Normalizing Flows for Exact pp-Wasserstein Dynamics

    Aug 6, 2026Lishuo Zhang, Ruizhi Huang, Yang Yu +1Optimal TransportBipartite Perfect Matchings

  9. ReBRAC-v2: The Return of the King

    Aug 2, 2026Denis Tarasov, Robert K. KatzschmannOffline Reinforcement LearningNormalizing Flows

  10. FloDR: An invertible dimensionality reduction method based on a normalising flow

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionEmbedding Dimension

  11. Normalizing Flows to Reconstruct Pseudo-PDFs

    Jul 28, 2026Yamil Cahuana Medrano, Kostas OrginosNormalizing FlowsEquivariant Neural Networks

  12. PAKE: Learning Whole-Body Loco-Manipulation with Partial Kinematic Embeddings

    Jul 13, 2026Zhengmao He, Moonkyu Jung, Hyeongjun Kim +4Humanoid Loco-ManipulationLegged Robots

  13. NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL

    Jul 8, 2026Erdemt Bao, Xing Lei, Jun ChenGoal-Conditioned Reinforcement LearningReweighting

  14. Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average

    Jul 4, 2026Benjamin Wiriyapong, Oktay Karakus, Can Eyupoglu +1Normalizing FlowsVariational Inference

  15. Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination

    Jun 29, 2026Walther Litteri, Massimiliano VasileNear-Earth ObjectsNormalizing Flows

  16. The Fundamental Limits of Valid Transport Map Estimation

    Jun 29, 2026Sivaraman BalakrishnanOptimal TransportGenerative Models

  17. Factorizable Normalizing Flows for parameter-dependent density morphing

    Jun 29, 2026Davide Valsecchi, Mauro Donegà, Rainer WallnyNormalizing FlowsReparameterization

  18. Normalizing Flow-Enhanced Message Passing for Multirobot Collaborative Localization

    Jun 29, 2026Han Shen, Guanghui Wen, Liangming Chen +1Robust LocalizationMulti-Sensor Fusion

  19. Simplifying Flow Matching Transformations with Low-Rank Mixture Models

    Jun 29, 2026Liam A. Kruse, Houjun Liu, Alexandros E. Tzikas +2Normalizing FlowsConditional Flow Matching

  20. DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

    Jun 25, 2026Hun Im, Jungi Lee, Subeen Cha +1Normalizing FlowsAnomaly Detection

  21. MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation

    Jun 24, 2026Yang Chen, Xiaowei Xu, Shuai Wang +4Normalizing FlowsLarge-Scale Image Generation

  22. Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows

    Jun 16, 2026Alejandro Calle-Saldarriaga, Felix Jimenez, Jack Grosskreuz +3NitrogenDeep Learning

  23. Learning the generating functional for variance reduction in lattice QCD

    Jun 14, 2026Ryan Abbott, Yang Fu, Daniel C. Hackett +3Effective Field TheoryVariance Reduction

  24. Latent Reasoning with Normalizing Flows

    Jun 4, 2026Guancheng Tu, Xiangjun Fu, Suhao Yu +5Efficient Latent ReasoningAutoregressive Language Models

  25. Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

    Jun 3, 2026Riccardo Saporiti, Fabio NobileStochastic Differential EquationsFokker--Planck Equation

  26. Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows

    May 31, 2026Jun HuMarkov Chain Monte CarloNormalizing Flows

  27. Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection

    May 30, 2026Xinwei Cao, Mengxuan Lu, Torbjørn Svendsen +1Out-Of-Distribution DetectionOut-Of-Distribution

  28. A lift for input-convex neural net training

    May 22, 2026Ali SiahkoohiLoss LandscapeNeural Network Optimization

  29. The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces

    May 21, 2026Philipp Bomatter, Jack Geary, Henry GoukOut-Of-Distribution DetectionOut-Of-Distribution

  30. SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

    May 18, 2026Longtao Jiang, Jianmin Bao, Zhendong Wang +4Large-Scale Image GenerationNormalizing Flows

  31. StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow

    May 15, 2026Gurjeet Jagwani, Stephen Thorp, Sinan Deger +1LikelihoodNormalizing Flows

  32. Machine Learning for neutron source distributions

    May 12, 2026Jose Ignacio Robledo, Norberto Schmidt, Klaus Lieutenant +3Machine LearningGenerative Models

  33. Operator-Guided Model Reduction for Generative Sampling in Lattice Field Theory

    May 11, 2026Moxian QianEffective Field TheoryMarkovian Sampling

  34. Learning stochastic multiscale models through normalizing flows

    May 10, 2026Anan Saha, Arnab GangulyMultiscale DynamicsStochastic Dynamics

  35. CONTRA: Conformal Prediction Region via Normalizing Flow Transformation

    May 8, 2026Zhenhan Fang, Aixin Tan, Jian HuangConformal PredictionNormalizing Flows

  36. Normalizing Trajectory Models

    May 8, 2026Jiatao Gu, Tianrong Chen, Ying Shen +3Denoising TrajectoryNormalizing Flows

  37. STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

    May 8, 2026Ying Shen, Tianrong Chen, Yuan Gao +6Multimodal GenerationUnified Multimodal Models

  38. Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective

    May 7, 2026Meira Iske, Carola-Bibiane SchönliebNormalizing FlowsLipschitz Constant

  39. Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation

    May 6, 2026Olivia Jullian Parra, Sara Zoccheddu, David Catalan Cerezo +7Heterogeneous Treatment EffectsElectronic Health Records

  40. Robust Conditional Conformal Prediction via Branched Normalizing Flow

    May 3, 2026Rui Xu, Xingyuan Chen, Wenxing Huang +4Conformal PredictionConformal Calibration

  41. Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach

    May 1, 2026Zain Jabbar, Andrey A. PopovParticle FiltersNormalizing Flows

  42. Quantum Dynamics via Score Matching on Bohmian Trajectories

    Apr 28, 2026Lei WangQuantum Neural NetworksWave

  43. Normalizing Flows with Iterative Denoising

    Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing FlowsDenoising Diffusion Probabilistic Model

  44. Complex normalizing flows can almost be information Kähler-Ricci flows

    Apr 20, 2026Andrew GracykNormalizing FlowsRiemannian Manifolds

  45. A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations

    Apr 19, 2026Marcin Kostrzewa, Maciej Zięba, Jerzy StefanowskiCounterfactual ExplanationGenerative Models

  46. Convergence theory for Hermite approximations under adaptive coordinate transformations

    Apr 18, 2026Yahya SalehFourierNormalizing Flows

  47. VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

    Mar 27, 2026PengYu Chen, Shang Wan, Xiaohou Shi +3Time-Series Anomaly DetectionDetection Framework

  48. Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models

    Mar 19, 2026Riccardo Saporiti, Fabio NobileNormalizing FlowsFokker--Planck Equation

  49. Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

    Mar 12, 2026David Baumgartner, Eliezer de Souza da Silva, Iñigo UrteagaTime-Series Anomaly DetectionAnomaly Detection

  50. Enhancing Low-resolution Image Representation Through Normalizing Flows

    Jan 11, 2026Chenglong Bao, Tongyao Pang, Zuowei Shen +2Low-ResolutionLearned Image Compression

  51. CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

    Oct 29, 2025Xuchen Feng, Siyu LiaoNormalizing FlowsEquivariant Neural Networks

  52. Normalizing Flows are Capable Models for Continuous Control

    May 29, 2025Raj Ghugare, Benjamin EysenbachNormalizing FlowsFlow-Based Policy

  53. Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy

    May 6, 2025Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal +1MetabolicNormalizing Flows