Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

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

2

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Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Network time series forecasting in photovoltaics power production

Towards Trustworthy Deep Learning for Image Reconstruction

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

Partial discharge localization in power transformer tanks using machine learning methods

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

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

Safe Deep Neural Networks

Incorporating Projective Geometry into Deep Learning

Topics in statistical physics of high-dimensional machine learning

In-Sensor Passive Speech Classification with Phononic Metamaterials

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

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

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms