Presentations

Talks, lectures and teaching material.

These are mostly from my years in academic research. Most of what I have worked on since is under NDA and does not appear here.

2024

Bayesian deep learning

15 May · Paris Sciences et Lettres, Paris · lecture

slides

2021

ML uncertainty quantification for scientific applications

12 May · Machine Learning Club · journal club

slides

Machine learning and statistics

4 February · Max Planck Institute for Physics, Munich · seminar

slides · notebook

Machine learning, statistics and the relation between neural networks and physics

11 January · Sorbonne Center for Artificial Intelligence, Paris · lecture

slides · notebook

2020

Using variational inference to estimate the existence of objects and their redshifts from COSMOS2020

30 November · DeepDIP, Institut d’Astrophysique de Paris · journal club

slides · notebook

Machine learning, statistics and the relation between neural networks and physics

16 November · University College London · seminar

slides · notebook

Machine learning for cosmology and Euclid

24 June · Euclid summer school, Les Houches · lecture

slides · notebook

Bayesian deep learning for cosmology and gravitational waves

15 March · Paris Centre for Cosmological Physics · seminar

slides · notebook

Machine learning for cosmology and astronomy

28 February · University of Geneva · seminar

slides · notebook

Machine learning for cosmology and astronomy

17 February · GReCO, Institut d’Astrophysique de Paris · journal club

slides · notebook

Neural networks: How they work and their future in science

22 January · SISSA, Trieste · interview

slides · notebook

Parameter inference using neural networks

17 January · Machine Learning meets Astrophysics, Saclay · conference

slides · notebook

2019

Why neural networks don't work (and how to use them)

9 December · Schloss Ringberg · conference

slides · notebook

Parameter inference using neural networks

2 December · DAMTP, University of Cambridge · seminar

slides · notebook

Bayesian methods for performing inference using neural networks

20 November · École Normale Supérieure, Paris · seminar

slides · notebook

Cosmological parameter inference using neural networks

12 November · Scuola Normale Superiore, Pisa · seminar

slides · notebook

Neural physical engines for inferring the halo mass distribution function

9 October · AstroParticule et Cosmologie, Paris · journal club

slides · notebook

Lossless data compression for cosmological surveys

10 June · AI in Cosmology, Ascona · conference

slides · notebook

Novel uses of machine learning: predicting probabilities and trusting outputs

28 March · École doctorale, Observatoire de Paris · lecture

slides · notebook

Information maximising neural networks for dimensionality reduction

18 March · LFI Task Force, New York · conference

slides · notebook

2018

Information maximising neural networks

25 October · Institut Henri Poincaré, Paris · conference

pdf

Information maximising neural networks

22 May · Cosmo21, Valencia · conference

pdf

Information maximising neural networks

19 April · StatLSS, Oxford · conference

pdf

Statistics and novel uses of machine learning

16 March · Postdoc day, Institut d’Astrophysique de Paris · journal club

pdf

DEEPVIS

23 January · DEEPVIS, Institut d’Astrophysique de Paris · journal club

pdf

2017

Taking the square

22 November · Institut d’Astrophysique de Paris · lecture

pdf

Introduction and information maximising non-linear data compression

8 November · BLSS, Max Planck Institute for Physics, Munich · conference

pdf

Neural networking

8 June · Institut d’Astrophysique de Paris · lecture

pdf

Recurrent neural networks and the classification of supernovae

11 May · ICAP, Institut d’Astrophysique de Paris · journal club

pdf