Cover Image

Flow Matching with Uncertainty Quantification and Guidance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Juyeop, Beyer, Lukas Lao, Karaman, Sertac
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering
by: Biberstein, Josef X., et al.
Published: (2025)

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification
by: Han, Juyeop, et al.
Published: (2024)

Generating Out-Of-Distribution Scenarios Using Language Models
by: Aasi, Erfan, et al.
Published: (2024)

Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)

Real-Time Sampling-based Online Planning for Drone Interception
by: Ryou, Gilhyun, et al.
Published: (2025)

Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching
by: Xing, Jiarui, et al.
Published: (2026)

Momentum Guidance: Plug-and-Play Guidance for Flow Models
by: Liao, Runlong, et al.
Published: (2026)

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
by: Manor, Hila, et al.
Published: (2023)

Uncertainty Quantification for cross-subject Motor Imagery classification
by: Manivannan, Prithviraj, et al.
Published: (2024)

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
by: Zepf, Kilian, et al.
Published: (2023)

Epistemic Uncertainty Quantification For Pre-trained Neural Network
by: Wang, Hanjing, et al.
Published: (2024)

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
by: Teneggi, Jacopo, et al.
Published: (2025)

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
by: Huang, Huiqun, et al.
Published: (2025)

SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification
by: Shen, Jingyi, et al.
Published: (2024)

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)

Exploring Diffusion and Flow Matching Under Generator Matching
by: Patel, Zeeshan, et al.
Published: (2024)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
by: Mossina, Luca, et al.
Published: (2024)

Entropy-Controlled Flow Matching
by: Maduabuchi, Chika
Published: (2026)

Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)

Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning
by: Lehmann, Nils, et al.
Published: (2024)

On Flow Matching KL Divergence
by: Su, Maojiang, et al.
Published: (2025)

The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)

Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
by: Sun, Zhicheng, et al.
Published: (2024)

Learning Straight Flows: Variational Flow Matching for Efficient Generation
by: Ma, Chenrui, et al.
Published: (2025)

Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
by: Laksara, Yasiru, et al.
Published: (2025)

WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
by: Alijani, Shadi, et al.
Published: (2025)

Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
by: Martin, Ségolène, et al.
Published: (2024)

Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning
by: Hsu, Chia-Hong, et al.
Published: (2026)

Exploring and Exploiting Stability in Latent Flow Matching
by: Briq, Rania, et al.
Published: (2026)

Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
by: Karnik, Sathwik, et al.
Published: (2026)

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
by: Yu, Linlin, et al.
Published: (2024)

Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
by: Bergmeister, Andreas, et al.
Published: (2026)

Highly Compressed Tokenizer Can Generate Without Training
by: Beyer, L. Lao, et al.
Published: (2025)

Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

Laplacian Multi-scale Flow Matching for Generative Modeling
by: Zhao, Zelin, et al.
Published: (2026)

Flower: A Flow-Matching Solver for Inverse Problems
by: Pourya, Mehrsa, et al.
Published: (2025)

Hierarchical Rectified Flow Matching with Mini-Batch Couplings
by: Zhang, Yichi, et al.
Published: (2025)