In recent years, the field of machine learning (ML) has seen tremendous progress, with many breakthroughs directly connected to the well-studied mathematical theory of Stochastic Differential Equations (SDEs). This increasingly fruitful relationship between SDEs and ML has produced several state-of-the-art innovations, ranging from Langevin algorithms in Bayesian learning to score-based diffusion models in computer vision.

 

This workshop aims to bring the SDE and ML communities closer together and “sow the seeds” for future interdisciplinary and impactful research. For example, we anticipate the following general themes will be explored:
 

• SDE-inspired learning algorithms and architectures

• Computational or learning-based algorithms for SDEs

• Theoretical connections between SDEs and machine learning

• Applications and areas of opportunity between disciplines
 

Mathematicians and computer scientists (both established and early career) are encouraged to attend and, by embracing researchers with diverse interests, we hope to inspire new collaborations and directions for SDEs and ML.

 

 

Scam Warning

We are aware of a number of current scams targeting participants at ICMS workshops in relation to registration or accommodation bookings. If you are approached by a third party (e.g., travellerpoint.org, Conference Committee or Royal Visit) asking for booking or payment details, these scammers may telephone or email you and tell you that they are organising accommodation in Edinburgh for you on behalf of ICMS. please ignore.

Please note:
i) ICMS never uses third parties to do our administration for events: messages will come directly from ICMS staff;
ii) ICMS never asks participants for credit card or bank details;
iii) If you have any doubts about an email you receive, please get in touch with us.