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Idiap and UAM Participation at MEX-A3T Evaluation Campaign

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Idiap and UAM Participation at MEX-A3T Evaluation Campaign

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Topics in statistical physics of high-dimensional machine learning

Graph Representation Learning with Optimal Transport: Analysis and Applications

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Conditional Synthetic Financial Time Series with Generative Adversarial Networks

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration

Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain

Textual Explanations and Critiques in Recommendation Systems

Context-Aware Learning for Generative Models

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

Local plasticity rules can learn deep representations using self-supervised contrastive predictions