08/09/26 - [Note the unusual day] - Ben Suzzoni
23/09/26 - Vijay Nenmeli (Edinburgh)
30/09/26 - Roberto Emparan (ICCUB)
07/10/26 - Prahar Mitra (Southampton)
14/10/26 - Silvia Georgescu (King's college)
21/10/26 - Susha Parameswaran (Liverpool)
28/10/26 - Klaas Parmentier (Cambridge)
04/11/26 - Julián H. Toro (U. Buenos Aires)
11/11/26 -
18/11/26 - Cristoforo Iossa (Geneva U.)
25/11/26 -
02/12/26 -
09/12/26 - no seminar [STAG Colloquium]
[Winter break: 13 Dec 2025 - 3 Jan 2026]
06/01/27 -
[Exam period: 11 - 23 Jan 2026]
27/01/26 -
03/02/26 -
10/02/26 -
17/02/26 -
24/02/26 -
03/03/26 -
10/03/26 -
17/03/26 -
[Spring break: 21 March 2026 through 11 April 2026]
14/04/26 -
21/04/26 -
28/04/26 -
05/05/26 -
12/05/26 -
[Exam period 17 May 2026 - 5 June 2026]
Ben Suzzoni: Conformal Defects in Neural Network Field Theories
Abstract: Neural network field theory has become a fruitful formalism for constructing quantum field theories by trading the path integral with a better behaved statistical integral over neural network parameters. A couple of years ago, it was shown that this formalism can be used to engineer conformal field theories too. In this talk, I will present an extension of this formalism, valid in the presence of a defect, which we call Neural Network Defect Conformal Field Theory (nn-dCFT). I will outline the motivations for engineering such field theories and demonstrate how to construct them from neural networks. The talk will conclude with a couple of examples and further directions.