Giuseppe Ughi
MSc in Mathematical Modelling and Scientific Computing (University of Oxford), BSc in Mathematical Engineering (Politecnico di Milano)
Status:
Postgraduate Student
+44 1865 270508
Research groups:
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Research interests:
The main focus of my research is on Theories of Deep Learning with the aim of applying them to the automatisation of the appraisal of real-estates with RE5Q.
Initially, I focused on the application of traditional derivative-free optimisation algorithms to generate adversarial examples for deep nets. This lead to a comprehensive review of how different optimisation techniques compare in this task.
Currently, I am focusing on the use of Information Theory to develop initialisations of neural networks that allow an optimal transmission of information through the layers.
Further details:
InFoMM CDT DPhil Student (Cohort 4)
Teaching:
Tutor for:
- C.6.5 Theories of Deep Learning (MT20)
- B.5.6 Nonlinear Systems (HT20)
- C.6.5 Theories of Deep Learning (MT19)
Teaching Assistant for:
- C.7.7 Random Matrix Theory (HT21)
- Oxford Internet Institute - Machine Learning (MT20)
- C.6.5 Theories of Deep Learning (HT19)
- B.8.4 Information Theory (MT18)