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Machine Learning and Optimisation Reading Group

Welcome to the webpage of the ML & Optimisation reading group! We are interested in a number of broad topics in machine learning and optimisation including (but not limited to):

  • Functional Approximators (NN) & Compression Techniques
  • Deep Generative Models
  • Dynamical Systems
  • Gaussian Processes
  • Bayesian Optimisation

In Term 1 we plan to cover Functional Approximators (NN) & Dimensionality reduction methods.

For this section we mainly follow the book "Deep Learning architectures. A mathematical approach" by Ovidiu Calin 

Book coverLink opens in a new window

We meet every Wednesday 11:00-12:00 in B3.03 (Zeeman).

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Date Topic Paper/Text book chapters Presenter
12/10/22 Organisational meeting
19/10/22 Introduction to Neural Networks

"Deep Learning architectures. A mathematical approach" by Ovidiu Calin, Ch. 1, 5, 6

Claudia Viaro
26/10/22 NN and approximation theorems

"Deep Learning architectures. A mathematical approach" by Ovidiu Calin, Ch. 6, 7

Anna Kuchko
02/11/22 Universal approximation theorems "Deep Learning architectures. A mathematical approach" by Ovidiu Calin, Ch. 9 Laszlo Udvardi
09/11/22 Compression techniques and neural manifolds "Deep Learning architectures. A mathematical approach" by Ovidiu Calin, Ch. 13,14 Anna Kuchko
16/11/22 Recurrent Neural Networks "Deep Learning architectures. A mathematical approach" by Ovidiu Calin, Ch. 17 Pablo Ramses Alonso Martin
Mid-term pub
23/11/22 Graph Neural Networks Genaral theory+recent papers Richard Fox
30/11/22 Physics-Informed Deep Learning "Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations" by M. Raissi, P. Perdikaris, G. E. Karniadakis Claudia Viaro
7/12/22 Reservoir Computing & Echo State Networks "Echo state networks are universal" by L. Grigoryeva and J.-P. Ortega Guglielmo Gattiglio

If you would like to get engaged in the reading group and present a topic of your interest (or your research if it aligns with the thematics of the reading group) or a paper you have been reading, please contact us.

In AY 2022-2023 the reading group is organised by Claudia Viaro, Anna Kuchko and Laszlo Udvardi. Please don't hesitate to contact us if you have any questions or suggestions!

The information about previous meetings of the reading group can be found here.