Improved calorimetric particle identification in NA62 using machine learning techniques

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Turning pass-through network architectures into iterative ones, which use their own output as input, is a well-known approach for boosting performance. In this paper, we argue that such architectures offer an additional benefit: The convergence rate of the ...

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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Improved calorimetric particle identification in NA62 using machine learning techniques

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Enabling Uncertainty Estimation in Iterative Neural Networks

Topics in statistical physics of high-dimensional machine learning

Understanding generalization and robustness in modern deep learning

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Random matrix methods for high-dimensional machine learning models

Towards Trustworthy Deep Learning for Image Reconstruction

Machine Learning for Modeling Stock Returns

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Robust machine learning for neuroscientific inference

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Safe Deep Neural Networks

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification