On-line anomaly detection and resilience in classifier ensembles

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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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On-line anomaly detection and resilience in classifier ensembles

Chattez avec Graph Search

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A gentle introduction and tutorial on Deep Generative Models in transportation research

Label-Efficient Deep Learning Methods for Event Detection, Object Segmentation and Cell Tracking in Biological Microscopy Images

Data and scripts for the RaFSIP scheme

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling

Boosting likelihood learning with event reweighting

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

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

Efficient and insightful descriptors for representing molecular and material space

Random matrix methods for high-dimensional machine learning models

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Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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Aggregating Spatial and Photometric Context for Photometric Stereo

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations