Compression (Algorithms) | The Alan Turing Institute

Projects

banknotes

Synthetic data generation for finance and economics

Generating artificial business, finance, and economic data to enable data sharing, scenario simulation, and model validation

rippled microstructures on silicon

Digital fingerprinting of materials microstructure

Investigating and developing new methods for concisely capturing the essence of a material’s microstructure

People

Robert Piechocki

Professor Robert Piechocki

Turing Fellow

Ian Craddock

Professor Ian Craddock

Turing Fellow

Matt Kusner

Dr Matt Kusner

Turing Fellow

Nick Polydorides

Dr Nick Polydorides

Turing Fellow

Coralia Cartis

Professor Coralia Cartis

Turing Fellow

Events

Galaxy

Data science for physics and astronomy scoping workshop

Monday 02 Dec 2019 - Tuesday 03 Dec 2019

Time: 10:30 - 16:30

yellow tiles

Modal Analysis from Random and Compressed Samples

Thursday 13 Jul 2017

Time: 18:37

abstract image

Magic Pony Technology: Artificial Intelligence, Neural Networks and Image Processing

Tuesday 07 Mar 2017

Time: 17:37

Publications and software

Stable Rank Normalization for Improved Generalization in Neural Networks and GANs

Exciting new work on generalization bounds for neural networks (NN) given by Bartlett et...

Sanyal, Amartya & Torr, Philip & Dokania, Puneet. (2019). Stable Rank Normalization for Improved Generalization in Neural Networks and GANs.

Interest groups

Connecting lines and dots

AI in resource- and data-constrained environments

How can we build effective predictive models on hardware platforms that have limited computational resources and/or when the model training data are by definition always limited in amount?