Saved in:
| Main Authors: | Tulin, Israt Jahan, Starke, Sebastian, Windisch, Dominic, Bieberle, André, Steinbach, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.17312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-supervised denoising of visual field data improves detection of glaucoma progression
by: Wu, Sean, et al.
Published: (2024)
by: Wu, Sean, et al.
Published: (2024)
Self-supervised learning for crystal property prediction via denoising
by: New, Alexander, et al.
Published: (2024)
by: New, Alexander, et al.
Published: (2024)
Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024)
by: Aali, Asad, et al.
Published: (2024)
Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
by: Jahan, Israt, et al.
Published: (2025)
by: Jahan, Israt, et al.
Published: (2025)
DensePANet: An improved generative adversarial network for photoacoustic tomography image reconstruction from sparse data
by: Hakimnejad, Hesam, et al.
Published: (2024)
by: Hakimnejad, Hesam, et al.
Published: (2024)
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
by: Arifin, Khandoker Nosiba, et al.
Published: (2024)
by: Arifin, Khandoker Nosiba, et al.
Published: (2024)
Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
by: Park, Juhyung, et al.
Published: (2022)
by: Park, Juhyung, et al.
Published: (2022)
XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers
by: Mouri, Israt Jahan, et al.
Published: (2026)
by: Mouri, Israt Jahan, et al.
Published: (2026)
Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning
by: Reganova, Elizaveta, et al.
Published: (2024)
by: Reganova, Elizaveta, et al.
Published: (2024)
Bayesian ECG reconstruction using denoising diffusion generative models
by: Cardoso, Gabriel V., et al.
Published: (2023)
by: Cardoso, Gabriel V., et al.
Published: (2023)
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
by: Herbreteau, Sébastien, et al.
Published: (2024)
by: Herbreteau, Sébastien, et al.
Published: (2024)
Noise2Ghost: Self-supervised deep convolutional reconstruction for ghost imaging
by: Manni, Mathieu, et al.
Published: (2025)
by: Manni, Mathieu, et al.
Published: (2025)
Mask prior-guided denoising diffusion improves inverse protein folding
by: Bai, Peizhen, et al.
Published: (2024)
by: Bai, Peizhen, et al.
Published: (2024)
A method to benchmark high-dimensional process drift detection
by: Wolf, Edgar, et al.
Published: (2024)
by: Wolf, Edgar, et al.
Published: (2024)
Self-supervised Pretraining for Partial Differential Equations
by: Madhavan, Varun, et al.
Published: (2024)
by: Madhavan, Varun, et al.
Published: (2024)
LineFlow: A Framework to Learn Active Control of Production Lines
by: Müller, Kai, et al.
Published: (2025)
by: Müller, Kai, et al.
Published: (2025)
Benchmarking learned algorithms for computed tomography image reconstruction tasks
by: Kiss, Maximilian B., et al.
Published: (2024)
by: Kiss, Maximilian B., et al.
Published: (2024)
Nonlinear Causal Discovery for Grouped Data
by: Göbler, Konstantin, et al.
Published: (2025)
by: Göbler, Konstantin, et al.
Published: (2025)
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
by: Schmähling, Tobias, et al.
Published: (2026)
by: Schmähling, Tobias, et al.
Published: (2026)
A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases
by: Banerjee, Sayantan, et al.
Published: (2025)
by: Banerjee, Sayantan, et al.
Published: (2025)
Self-supervised learning on gene expression data
by: Dradjat, Kevin, et al.
Published: (2025)
by: Dradjat, Kevin, et al.
Published: (2025)
Computational bottlenecks for denoising diffusions
by: Montanari, Andrea, et al.
Published: (2025)
by: Montanari, Andrea, et al.
Published: (2025)
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
by: Müller, Philip, et al.
Published: (2026)
by: Müller, Philip, et al.
Published: (2026)
SUNLayer: Stable denoising with generative networks
by: Jin, Ruhui, et al.
Published: (2018)
by: Jin, Ruhui, et al.
Published: (2018)
Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
by: Yakovlev, Konstantin, et al.
Published: (2025)
by: Yakovlev, Konstantin, et al.
Published: (2025)
Learned denoising with simulated and experimental low-dose CT data
by: Kiss, Maximilian B., et al.
Published: (2024)
by: Kiss, Maximilian B., et al.
Published: (2024)
Spectral Self-supervised Feature Selection
by: Segal, Daniel, et al.
Published: (2024)
by: Segal, Daniel, et al.
Published: (2024)
Blind denoising diffusion models and the blessings of dimensionality
by: Kadkhodaie, Zahra, et al.
Published: (2026)
by: Kadkhodaie, Zahra, et al.
Published: (2026)
IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection
by: Farabi, Ahsan, et al.
Published: (2025)
by: Farabi, Ahsan, et al.
Published: (2025)
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
by: Dayta, Dominic B.
Published: (2024)
by: Dayta, Dominic B.
Published: (2024)
Strong denoising of financial time-series
by: Feiler, Matthias J.
Published: (2024)
by: Feiler, Matthias J.
Published: (2024)
Graph Positional Autoencoders as Self-supervised Learners
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Incremental Self-training for Semi-supervised Learning
by: Guo, Jifeng, et al.
Published: (2024)
by: Guo, Jifeng, et al.
Published: (2024)
Deep convolutional framelets for dose reconstruction in BNCT with Compton camera detector
by: Didonna, Angelo, et al.
Published: (2024)
by: Didonna, Angelo, et al.
Published: (2024)
Self-supervised learning for phase retrieval
by: Sechaud, Victor, et al.
Published: (2025)
by: Sechaud, Victor, et al.
Published: (2025)
Physics-guided denoiser network for enhanced additive manufacturing data quality
by: Halder, Pallock, et al.
Published: (2025)
by: Halder, Pallock, et al.
Published: (2025)
Statistical guarantees for denoising reflected diffusion models
by: Holk, Asbjørn, et al.
Published: (2024)
by: Holk, Asbjørn, et al.
Published: (2024)
Fréchet regression with implicit denoising and multicollinearity reduction
by: Mansouri, Dou El Kefel, et al.
Published: (2024)
by: Mansouri, Dou El Kefel, et al.
Published: (2024)
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising
by: Fantasia, Claudio, et al.
Published: (2025)
by: Fantasia, Claudio, et al.
Published: (2025)
Self-supervised learning unveils change in urban housing from street-level images
by: Stalder, Steven, et al.
Published: (2023)
by: Stalder, Steven, et al.
Published: (2023)
Similar Items
-
Self-supervised denoising of visual field data improves detection of glaucoma progression
by: Wu, Sean, et al.
Published: (2024) -
Self-supervised learning for crystal property prediction via denoising
by: New, Alexander, et al.
Published: (2024) -
Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024) -
Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
by: Jahan, Israt, et al.
Published: (2025) -
DensePANet: An improved generative adversarial network for photoacoustic tomography image reconstruction from sparse data
by: Hakimnejad, Hesam, et al.
Published: (2024)