Rigorous results from machine learning

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Fabian Ruehle

Our Liverpool Virtual Seminar Series on Data Intensive Science will continue on Tuesday 7th May at 15:00 BST. The seminar will be given by Fabian Ruehle, Assistant Professor at the Physics and Mathematics Department of Northeastern University College of Science who will present “Rigorous results from machine learning”

Seminars in this series cover R&D outside of the data intensive science CDT’s core research areas and give an insight into cutting edge research in this area. At the end of the talk there will be a Q&A session with the speaker.

About the talk

Despite their successes, machine learning techniques are often stochastic, error-prone, and blackbox. How could they then be used in fields such as theoretical physics and pure mathematics for which error-free results and deep understanding are a must?

I will discuss how we can "gamify" science problems and then tackle them with Reinforcement Learning. This technique can be applied to many hard problems from discrete mathematics and can produce provably correct results for decision problems. Moreover, studying how the game is won, i.e., how problem is solved, is typically easier than trying to interpret a neural network directly. I will illustrate this idea using examples from theoretical physics and mathematics.

About the speaker

Dr Ruehle is a Professor at Northeastern University and a Senior Investigator of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions. His research interests lie at the intersection of Mathematics, Theoretical Physics (more precisely string theory), and Machine Learning. He received a Bachelor degree in Physics and Computer Science from the University of Heidelberg and his PhD in Physics from the University of Bonn. Before starting at Northeastern, Dr. Ruehle worked as a postdoctoral researcher at CERN in Geneva, at the University of Oxford, and at DESY in Hamburg.

How to attend

Participation is free, but you need to register to attend this and other webinars in the series. For more information and how to register please follow this link. Once registered, you will receive the Zoom connection details on the morning of the online seminar.

The seminar details

Speaker: Fabian Ruehle, (Northeastern University College of Science)

Seminar title: “Rigorous results from machine learning”

Date/Time: Tuesday 7th May at 15:00 BST