Sacl-AI 4 Science Workshop

Session

Physics for Machine Learning

phys4ml

Jul 10, 2024, 2:00 PM

BÂTIMENT D’ENSEIGNEMENT MUTUALISÉ (BEM)

17. Quantum physics for machine learning

Dr Danijela Markovic (CNRS Thales)

7/10/24, 2:00 PM

Invited talks

Talk (Long)

Quantum computing aims to leverage the principles of quantum mechanics, such as superposition, to encode and process information in ways that classical computers cannot, potentially handling exponentially larger amounts of information. However, harnessing this computational advantage requires quantum algorithms capable of encoding data into superpositions and providing answers with minimal...

19. Understanding uncertainty in machine learning with tractable models

Dr Bruno Loureiro (ENS Ulm)

7/10/24, 2:45 PM

Invited talks

Talk (Long)

Measuring the uncertainty associated to a model's prediction is a central part of statistical practice. In the context of modern deep learning practice, several methods for quantifying the uncertainty of neural networks co-exist. Yet, theoretical guarantees for these methods are scarce in the theoretical literature. In this talk, I will discuss how some of them compare in a mathematically...