Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems
Fuente:
arXiv
Saved in:
| Main Authors: | Tachella, Julian, Pereyra, Marcelo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Equivariant Deep Equilibrium Models for Imaging Inverse Problems
by: Mehta, Alexander, et al.
Published: (2025)
by: Mehta, Alexander, et al.
Published: (2025)
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
by: Tachella, Julián, et al.
Published: (2020)
by: Tachella, Julián, et al.
Published: (2020)
Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
by: Denker, Alexander, et al.
Published: (2026)
by: Denker, Alexander, et al.
Published: (2026)
Solving Inverse Problems with Flow-based Models via Model Predictive Control
by: Webber, George, et al.
Published: (2026)
by: Webber, George, et al.
Published: (2026)
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
by: Tachella, Julián, et al.
Published: (2022)
by: Tachella, Julián, et al.
Published: (2022)
Self-Supervised Learning from Noisy and Incomplete Data
by: Tachella, Julián, et al.
Published: (2026)
by: Tachella, Julián, et al.
Published: (2026)
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
by: Xie, Audrey, et al.
Published: (2021)
by: Xie, Audrey, et al.
Published: (2021)
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
by: Alido, Jeffrey, et al.
Published: (2025)
by: Alido, Jeffrey, et al.
Published: (2025)
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
by: Aali, Asad, et al.
Published: (2023)
by: Aali, Asad, et al.
Published: (2023)
Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks
by: Farajpoor, Parastoo, et al.
Published: (2026)
by: Farajpoor, Parastoo, et al.
Published: (2026)
Advancements in Orthopaedic Arm Segmentation: A Comprehensive Review
by: Swami, Abhishek, et al.
Published: (2024)
by: Swami, Abhishek, et al.
Published: (2024)
Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)
Untrained Perceptual Loss for image denoising of line-like structures in MR images
by: Pfaehler, Elisabeth, et al.
Published: (2024)
by: Pfaehler, Elisabeth, et al.
Published: (2024)
Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification
by: Guo, Shouchang
Published: (2024)
by: Guo, Shouchang
Published: (2024)
Hyperspectral Image Data Reduction for Endmember Extraction
by: Mizutani, Tomohiko
Published: (2025)
by: Mizutani, Tomohiko
Published: (2025)
Debunking Optimization Myths in Federated Learning for Medical Image Classification
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
by: Monroy, Brayan, et al.
Published: (2024)
by: Monroy, Brayan, et al.
Published: (2024)
Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)
by: Li, Xiaoyan, et al.
Published: (2025)
Endmember Extraction from Hyperspectral Images Using Self-Dictionary Approach with Linear Programming
by: Mizutani, Tomohiko
Published: (2024)
by: Mizutani, Tomohiko
Published: (2024)
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging
by: Oral, Okyanus, et al.
Published: (2023)
by: Oral, Okyanus, et al.
Published: (2023)
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
by: van Veldhuizen, Vivien, et al.
Published: (2023)
by: van Veldhuizen, Vivien, et al.
Published: (2023)
Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles
by: Huijben, Evi M. C., et al.
Published: (2024)
by: Huijben, Evi M. C., et al.
Published: (2024)
Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
by: Levac, Brett, et al.
Published: (2025)
by: Levac, Brett, et al.
Published: (2025)
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
by: Mondal, Ashok, et al.
Published: (2024)
by: Mondal, Ashok, et al.
Published: (2024)
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
by: Han, Tae-Seong, et al.
Published: (2025)
by: Han, Tae-Seong, et al.
Published: (2025)
FOSSA: First-Order Optimality-Based Sensor Selection for PINN Inverse Problems, with Application to Electrocardiographic Imaging
by: Xie, Jianxin
Published: (2026)
by: Xie, Jianxin
Published: (2026)
Saving Foundation Flow-Matching Priors for Inverse Problems
by: Wan, Yuxiang, et al.
Published: (2025)
by: Wan, Yuxiang, et al.
Published: (2025)
FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
by: Wan, Yuxiang, et al.
Published: (2025)
by: Wan, Yuxiang, et al.
Published: (2025)
Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification
by: Gharoun, Hassan, et al.
Published: (2024)
by: Gharoun, Hassan, et al.
Published: (2024)
Deep-learning-based electrode action potential mapping (DEAP Mapping) from annotation-free unipolar electrogram
by: Seno, Hiroshi, et al.
Published: (2024)
by: Seno, Hiroshi, et al.
Published: (2024)
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
by: Tachella, Julián, et al.
Published: (2024)
by: Tachella, Julián, et al.
Published: (2024)
Do Bayesian imaging methods report trustworthy probabilities?
by: Thong, David Y. W., et al.
Published: (2024)
by: Thong, David Y. W., et al.
Published: (2024)
Deep Learning for Hydroelectric Optimization: Generating Long-Term River Discharge Scenarios with Ensemble Forecasts from Global Circulation Models
by: Dias, Julio Alberto Silva
Published: (2024)
by: Dias, Julio Alberto Silva
Published: (2024)
Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network
by: Siargkas, Christos, et al.
Published: (2024)
by: Siargkas, Christos, et al.
Published: (2024)
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection
by: Togni, Jimi, et al.
Published: (2025)
by: Togni, Jimi, et al.
Published: (2025)
Learning to Reconstruct Signals From Binary Measurements
by: Tachella, Julián, et al.
Published: (2023)
by: Tachella, Julián, et al.
Published: (2023)
Removing Structured Noise with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2023)
by: Stevens, Tristan S. W., et al.
Published: (2023)
Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
by: Do, Tam Thuc, et al.
Published: (2023)
by: Do, Tam Thuc, et al.
Published: (2023)
Swapped Logit Distillation via Bi-level Teacher Alignment
by: Limantoro, Stephen Ekaputra, et al.
Published: (2025)
by: Limantoro, Stephen Ekaputra, et al.
Published: (2025)
Parameter-Free Logit Distillation via Sorting Mechanism
by: Limantoro, Stephen Ekaputra
Published: (2025)
by: Limantoro, Stephen Ekaputra
Published: (2025)
Similar Items
-
Equivariant Deep Equilibrium Models for Imaging Inverse Problems
by: Mehta, Alexander, et al.
Published: (2025) -
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
by: Tachella, Julián, et al.
Published: (2020) -
Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
by: Denker, Alexander, et al.
Published: (2026) -
Solving Inverse Problems with Flow-based Models via Model Predictive Control
by: Webber, George, et al.
Published: (2026) -
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
by: Tachella, Julián, et al.
Published: (2022)