Équations différentielles motiviques et au–delà

CayleyPy - Artificial intelligence methods for group and graph theories

par Dr Alexander Chervov (Institut Curie)

Europe/Paris
Salle Olga Ladyjenskaïa (IHP - Bâtiment Borel)

Salle Olga Ladyjenskaïa

IHP - Bâtiment Borel

Description

We will present an AI-based open source Python library "CayleyPy" 
which can handle googol-size Cayley graphs and significantly outperforms
classical computer algebra systems GAP/SAGE for several tasks.
Hundreds conjectures and several results were obtained with its help.
Classical group theory tasks e.g. decomposition of the group elements,
can be rephrased as standard reinforcement learning tasks,
and approached in a similar manner as Google Deepmind's AlphaGo/Zero.
We will also give an overview of various recent achievements 
in "AI for math" emerging field of research. 


The talk will be based on: 

arXiv:2509.19162,  arXiv:2502.18663,  arXiv:2502.13266.

Organisé par

Ilia Gaiur, Vasily Golyshev, Vladimir Rubtsov