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L'IDIAP Laboratory

Laboratory

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L'IDIAP Laboratory

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Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector

Robust Training and Verification of Deep Neural Networks

Robust discrete choice models with t-distributed kernel errors

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus.

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Towards Robust Monitoring of the Laser Powder Bed Fusion Process based on Acoustic Emission combined with Machine Learning Solutions

A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Exploration-based model learning with self-attention for risk-sensitive robot control

Towards a multiscale point cloud structural similarity metric