Macroeconomic Conditioned Synthetic Financial Markets

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Introduction Since its emergence in late 2019, the SARS-CoV-2 virus has led to a global health crisis, affecting millions and reshaping societies and economies worldwide. Investigating the determinants of SARS-CoV-2 diffusion and their spatiotemporal dynam ...

In this thesis, we study two closely related directions: robustness and generalization in modern deep learning. Deep learning models based on empirical risk minimization are known to be often non-robust to small, worst-case perturbations known as adversari ...

Macroeconomic Conditioned Synthetic Financial Markets

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Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging

Plasma state monitoring and disruption characterization using multimodal VAEs

Identification and Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors for Therapeutic Drug Monitoring

Electronic Excited States from Physically Constrained Machine Learning

A two-phase approach for leak detection and localization in water distribution systems using wavelet decomposition and machine learning

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Understanding generalization and robustness in modern deep learning