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In recent years, machine learning (ML) has emerged as a powerful tool in chemistry, enabling the discovery of new patterns in data, providing insights

Mouna Safir (IRIF) Title: Some new results with k-set agreement Abstract: In this talk, I will present our investigation of the solvability of k-set

A graph is reconstructible if it is determined up to isomorphism by the multiset of its proper induced subgraphs. The reconstruction conjecture

A sublinear-time quantum algorithm for approximating partition functions Gibbs partition functions are ubiquitous in statistical physics and in

Akka Zemari (LaBRI) Title: (Online) Continual Learning Abstract: In real-world supervised learning, training data is often unavailable simultaneously

The talk is in two parts. In the first part, we prove a lower bound on the scrambling speed of a random quantum circuit. We give three applications of

Oblivious Transfer from Zero-Knowledge Proofs, or How to Achieve Round-Optimal Quantum Oblivious Transfer and Zero-Knowledge Proofs on Quantum States

Ultrametrics are representations of data that emphasize hierarchical properties and are widely used in data visualization and clustering. In the

Le Graduate Program Numerics vous invite à son séminaire sur les enjeux sociétaux & la culture scientifique en lien avec le numérique. Deuxième séance