activity
20072023
most citedA Gravity Dual and LHC Study of Single-Sector Supersymmetry Breaking

52 citations · 350 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CY2023★ 8 cited

Implementing Learning Principles with a Personal AI Tutor: A Case Study

Ambroise Baillifard, Maxime Gabella, Pamela Banta Lavenex +1

Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. H…

cs.LG2019★ 39 cited

Topology of Learning in Artificial Neural Networks

Maxime Gabella

Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at the start of training, the weights of a neural network ev…

hep-th2017★ 1 cited

BPS spectra from BPS graphs

Maxime Gabella

I present a simple graphical method to find the BPS spectra of theories of class S. BPS graphs provide a bridge between spectral networks and BPS quivers, the two main framew…

physics.soc-ph2017

Cultural Structures of Knowledge from Wikipedia Networks of First Links

Maxime Gabella

Knowledge is useless without structure. While the classification of knowledge has been an enduring philosophical enterprise, it recently found applications in computer science, not…

hep-th2017★ 29 cited

BPS Graphs: From Spectral Networks to BPS Quivers

Maxime Gabella, Pietro Longhi, Chan Y. Park +1

We define "BPS graphs" on punctured Riemann surfaces associated with theories of class . BPS graphs provide a bridge between two powerful frameworks for stud…

hep-th2016★ 36 cited

Exactly marginal deformations from exceptional generalised geometry

Anthony Ashmore, Maxime Gabella, Mariana Graña +2

We apply exceptional generalised geometry to the study of exactly marginal deformations of SCFTs that are dual to generic AdS flux backgrounds in type IIB or el…