:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Avants, Brian B., Tustison, Nicholas J., Stone, James R
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition Methodology
Online Access:	https://arxiv.org/abs/2511.06425
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
by: Thambawita, Vajira, et al.
Published: (2026)

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
by: Chen, Guangyi, et al.
Published: (2024)

Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
by: Wang, Frederic, et al.
Published: (2026)

A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
by: Kim, Taehyo, et al.
Published: (2025)

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

Evaluating AI systems under uncertain ground truth: a case study in dermatology
by: Stutz, David, et al.
Published: (2023)

Conformal Prediction for Long-Tailed Classification
by: Ding, Tiffany, et al.
Published: (2025)

Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026)

Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
by: Patalano, Mariafrancesca, et al.
Published: (2025)

Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)

Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation
by: Tang, Luyao, et al.
Published: (2024)

A Fourier Space Perspective on Diffusion Models
by: Falck, Fabian, et al.
Published: (2025)

Statistical analysis of multivariate planar curves and applications to X-ray classification
by: Moindjié, Issam-Ali, et al.
Published: (2025)

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
by: Fogliato, Riccardo, et al.
Published: (2023)

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
by: Ma, Chenrui, et al.
Published: (2025)

Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
by: Dikter, Maor, et al.
Published: (2024)

Efficient Neural Network Training via Subset Pretraining
by: Spörer, Jan, et al.
Published: (2024)

Automatic Scoring of Cognition Drawings: Assessing the Quality of Machine-Based Scores Against a Gold Standard
by: Bethmann, Arne, et al.
Published: (2023)

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
by: Feng, Yunzhen, et al.
Published: (2024)

Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE)
by: Pavlovic, Maja
Published: (2025)

Regularizing Attention Scores with Bootstrapping
by: Chung, Neo Christopher, et al.
Published: (2026)

On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective
by: Song, Junhwa, et al.
Published: (2023)

Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)

Embedding-perturbed Exploration Preference Optimization for Flow Models
by: Hu, Sujie, et al.
Published: (2026)

Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts
by: Gordaliza, Pedro M., et al.
Published: (2025)

Efficient Matrix Implementation for Rotary Position Embedding
by: Minqi, Chen, et al.
Published: (2026)

Hierarchical topological clustering
by: Carpio, Ana, et al.
Published: (2025)

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
by: Nguyen, Nghia, et al.
Published: (2026)

AGFS-Tractometry: A Novel Atlas-Guided Fine-Scale Tractometry Approach for Enhanced Along-Tract Group Statistical Comparison Using Diffusion MRI Tractography
by: Zheng, Ruixi, et al.
Published: (2025)

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
by: Yang, Yang, et al.
Published: (2022)

Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication
by: Jaswal, Pragun, et al.
Published: (2025)

Wild Bootstrap Inference for Non-Negative Matrix Factorization with Random Effects
by: Satoh, Kenichi
Published: (2026)

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
by: Xue, Youze, et al.
Published: (2025)

Cluster Paths: Navigating Interpretability in Neural Networks
by: Kroeger, Nicholas M., et al.
Published: (2025)

CausAdv: A Causal-based Framework for Detecting Adversarial Examples
by: Debbi, Hichem
Published: (2024)

Natural Counterfactuals With Necessary Backtracking
by: Hao, Guang-Yuan, et al.
Published: (2024)

Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification
by: Hu, Lexiang, et al.
Published: (2026)

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
by: Bhalla, Usha, et al.
Published: (2024)

SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation
by: Chen, Weijie, et al.
Published: (2024)

CytoSAE: Interpretable Cell Embeddings for Hematology
by: Dasdelen, Muhammed Furkan, et al.
Published: (2025)