Portrait image of Marco Armenta

I am a mathematician trained in homological algebra and representation theory. I am currently trying to understand the computations of neural networks using algebraic, combinatorial and geometric aspects of quiver representation theory.

AMLD EPFL 2021 / Speakers

Pushmeet Kohli

Head of Research (AI for Science, Robustness and Reliability), DeepMind

Effy Vayena

Professor, ETH Zurich, Institute of Translational Medicine

Caroline Buckee

Associate Professor, Harvard TH Chan School of Public Health

Marc Grau Leguia

Post-doctoral Fellow, E-lab

Dongjiao Ge

Research Associate, University of Oxford

Jean-Sebastien Brouillon

PhD Candidate, EPFL

AMLD / Global partners