Barthélémy Meynard-Piganeau

Stochastic gradient descent for hybrid quantum-classical optimization

Johannes Jakob Meyer, J. Eisert, M. Schuld, 2019, Quantum.

Context-Aware Generative Models for Multi-Domain Proteins using Transformers

A. Pagnani, M. Weigt, Barthélémy Meynard-Piganeau, 2022 .

Stochastic gradient descent for hybrid quantum-classical optimization pdf

Maria Schuld, Jens Eisert, Ryan Sweke, 2019, Quantum.

Interpretable pairwise distillations for generative protein sequence models

C. Lucibello, Barthélémy Meynard-Piganeau, C. Feinauer, 2021, bioRxiv.

Generating interacting protein sequences using domain-to-domain translation

A. Pagnani, M. Weigt, Barthélémy Meynard-Piganeau, 2022, bioRxiv.

TULIP — a Transformer based Unsupervised Language model for Interacting Peptides and T-cell receptors that generalizes to unseen epitopes

T. Mora, M. Weigt, A. Walczak, 2024, bioRxiv.