Joint Theory Seminar: Vasilis Niarchos

Title: Deep Learning in QFT

Abstract: I will discuss recent efforts to apply deep learning methods in Quantum Mechanics and Quantum Field Theory problems outlining potential opportunities for new AI-based methodologies in theoretical High Energy physics problems. I will focus on two examples: Neural Operators in the context of scattering amplitudes and Reinforcement Learning in the context of the Conformal Bootstrap programme.