Virtual seminar on Reverse-engineering deep neural networks
Our Liverpool Virtual Seminar Series on Data Intensive Science will continue on Tuesday 7th November 2023 at 3pm GMT. The seminar will be given by Ilya Kuprov, a Professor of physics at the University of Southampton, who will present “Reverse-engineering deep neural networks”.
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
The lack of interpretability is a much-criticised feature of deep neural networks. Often, a neural network is effectively a black box. However, we have recently found a group-theoretical procedure that brings inner layer signalling into a human-readable form. We applied it to a signal processing network used in magnetic resonance spectroscopy, and found that the network spontaneously invents a bandpass filter, a notch filter, a frequency axis rescaling transformation, frequency division multiplexing, group embedding, spectral filtering regularisation, and a map from harmonic functions into Chebyshev polynomials – in ten minutes of unattended training.
About the speaker
llya Kuprov FRSC is a British physicist whose research focuses on quantum theory of magnetic processes and nuclear magnetic resonance. He has received the 2022 Atreya Award for his work on magnetic resonance theory. Kuprov is a Professor of Physics at the School of Chemistry of the University of Southampton in the UK, a Deputy Editor at the Science Advances magazine, a Fellow of the Royal Society of Chemistry, and a Fellow of the International Society of Magnetic Resonance. In 2023, he has published a monograph on theoretical and computational spin dynamics
Kuprov completed his undergraduate studies in environmental chemistry at Novosibirsk State University in 2002, and moved to the UK in the same year. In 2005, he received his DPhil degree in physical chemistry from the Corpus Christi College of the University of Oxford under the direction of Peter Hore.
In 2005 Kuprov was elected a Fellow by Examination at Magdalen College, Oxford. In 2009, he received an EPSRC Early Career Fellowship, which he held at the Oxford Supercomputing Centre. In 2014 he was appointed Associate Professor at the University of Southampton and later promoted to Professor. In 2018, Kuprov has joined the editorial board of Science Advances as an Associate Editor; he became Deputy Editor in 2021. From 2010 to 2021 he had been a committee member and then the Secretary of the Electron Spin Resonance Group of the Royal Society of Chemistry.[
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: Ilya Kuprov (University of Southampton)
Seminar title: “Reverse-engineering deep neural networks”
Date/Time: Tuesday 7th November at 3pm GMT