Cover Image

Application-driven Validation of Posteriors in Inverse Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Adler, Tim J., Nölke, Jan-Hinrich, Reinke, Annika, Tizabi, Minu Dietlinde, Gruber, Sebastian, Trofimova, Dasha, Ardizzone, Lynton, Jaeger, Paul F., Buettner, Florian, Köthe, Ullrich, Maier-Hein, Lena
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing standards in biomedical image analysis validation: A perspective on Metrics Reloaded
by: Annika Reinke, et al.
Published: (2025)

BayesFlow: Learning complex stochastic models with invertible neural networks
by: Radev, Stefan T., et al.
Published: (2020)

Quality Assured: Rethinking Annotation Strategies in Imaging AI
by: Rädsch, Tim, et al.
Published: (2024)

Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging
by: Dreher, Kris Kristoffer, et al.
Published: (2025)

Unsupervised Domain Transfer with Conditional Invertible Neural Networks
by: Dreher, Kris K., et al.
Published: (2023)

Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation
by: Rädsch, Tim, et al.
Published: (2025)

Better Uncertainty Calibration via Proper Scores for Classification and Beyond
by: Gruber, Sebastian G., et al.
Published: (2022)

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
by: Gruber, Sebastian G., et al.
Published: (2023)

Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
by: Godau, Patrick, et al.
Published: (2024)

Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows
by: Sorrenson, Peter, et al.
Published: (2025)

Show Me What You Don't Know: Efficient Sampling from Invariant Sets for Model Validation
by: Rousselot, Armand, et al.
Published: (2026)

Analyzing Generative Models by Manifold Entropic Metrics
by: Galperin, Daniel, et al.
Published: (2024)

Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)

OOD Detection with immature Models
by: Montazeran, Behrooz, et al.
Published: (2025)

From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows
by: Galperin, Daniel, et al.
Published: (2026)

6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models
by: Mayer, Leon, et al.
Published: (2025)

Impact of structural solutions on the design of high‐rise RC structures in long corner period seismic areas
by: Dietlinde Köber
Published: (2025)

Disentangling Mean Embeddings for Better Diagnostics of Image Generators
by: Gruber, Sebastian G., et al.
Published: (2024)

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
by: Wald, Tassilo, et al.
Published: (2025)

FINANCIALISATION AS THE CORE PROBLEM FOR A “SOCIAL EUROPE”
by: Andreas Nölke
Published: (2017)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
by: Christodoulou, Evangelia, et al.
Published: (2025)

Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
by: Hummerich, Sander, et al.
Published: (2025)

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study
by: Mayer, Leon, et al.
Published: (2025)

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
by: Kahl, Kim-Celine, et al.
Published: (2024)

FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
by: Mais, Lisa, et al.
Published: (2024)

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
by: Kahl, Kim-Celine, et al.
Published: (2024)

Overcoming Common Flaws in the Evaluation of Selective Classification Systems
by: Traub, Jeremias, et al.
Published: (2024)

International environmental policy : emergence and dimensions / Lynton Keith Caldwell
by: Caldwell, Lynton Keith
Published: (1990)

Ecología : ciencia y política medioambiental / Lynton Keith Caldwell ; Traducción de Xavier Gisbert Da Cruz, Virginia Vinuesa Benitez
by: Caldwell, Lynton Keith

Crear con el movimiento: la danza como proceso de investigación
by: Anadel Lynton Snyder
Published: (2006)

Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
by: Lorenz, Peter, et al.
Published: (2024)

On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
by: Draxler, Felix, et al.
Published: (2024)

Economical Jet Taggers -- Equivariant, Slim, and Quantized
by: Petitjean, Antoine, et al.
Published: (2025)

DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning
by: Serra, Giuseppe, et al.
Published: (2025)

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
by: Serra, Giuseppe, et al.
Published: (2024)

An autonomous agent for auditing and improving the reliability of clinical AI models
by: Kuhn, Lukas, et al.
Published: (2025)

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
by: Christodoulou, Evangelia, et al.
Published: (2024)

Comment on ‘Validity and Reliability of the Stoma Self‐Efficacy Scale in Patients With Intestinal Stoma: A Descriptive, Cross‐Sectional and Validation Study’
by: Jasmi Johnson, et al.
Published: (2026)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)

Learning Distances from Data with Normalizing Flows and Score Matching
by: Sorrenson, Peter, et al.
Published: (2024)