Amos James Storkey (born 1971) is Professor of Machine Learning and Artificial Intelligence at the School of Informatics, University of Edinburgh. Storkey studied mathematics at

Trinity College, Cambridge Trinity College is a Colleges of the University of Cambridge, constituent college of the University of Cambridge. Founded in 1546 by King Henry VIII, Trinity is one of the largest Cambridge colleges, with the largest financial endowment of any ...

and obtained his doctorate from

Imperial College, London Imperial College London, also known as Imperial, is a Public university, public research university in London, England. Its history began with Prince Albert of Saxe-Coburg and Gotha, Prince Albert, husband of Queen Victoria, who envisioned a Al ...

. In 1997 during his PhD, he worked on the

Hopfield Network A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory. The Hopfield network, named for John Hopfield, consists of a single layer of neurons, where ...

a form of recurrent

artificial neural network In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure and functions of biological neural networks. A neural network consists of connected ...

popularized by

John Hopfield John Joseph Hopfield (born July 15, 1933) is an American physicist and emeritus professor of Princeton University, most widely known for his study of associative neural networks in 1982. He is known for the development of the Hopfield network. ...

in 1982. Hopfield nets serve as content-addressable ("associative") memory systems with

binary Binary may refer to: Science and technology Mathematics * Binary number, a representation of numbers using only two values (0 and 1) for each digit * Binary function, a function that takes two arguments * Binary operation, a mathematical op ...

threshold nodes and Storkey developed what became known as the "Storkey Learning Rule".Storkey, Amos. "Increasing the capacity of a Hopfield network without sacrificing functionality." Artificial Neural Networks – ICANN'97 (1997)
451-456
Storkey, Amos. "Efficient Covariance Matrix Methods for Bayesian Gaussian Processes and Hopfield Neural Networks". PhD Thesis. University of London. (1999) Subsequently, he has worked on approximate Bayesian methods, machine learning in astronomy, graphical models, inference and sampling, and neural networks. Storkey joined the School of Informatics at the

University of Edinburgh The University of Edinburgh (, ; abbreviated as ''Edin.'' in Post-nominal letters, post-nominals) is a Public university, public research university based in Edinburgh, Scotland. Founded by the City of Edinburgh Council, town council under th ...

in 1999, was Microsoft Research Fellow from 2003 to 2004, appointed as reader in 2012, and to a personal chair in 2018. He is currently a Member of Institute for Adaptive and Neural Computation, Director of CDT in Data Science 014-22leading the Bayesian and Neural Systems Group. In December 2014, Clark and Storkey together published an innovative paper "Teaching Deep Convolutional Neural Networks to Play Go". Convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. Their paper showed that a Convolutional Neural Network trained by supervised learning from a database of human professional games could outperform GNU Go and win some games against

Monte Carlo tree search In computer science, Monte Carlo tree search (MCTS) is a heuristic search algorithm for some kinds of decision processes, most notably those employed in software that plays board games. In that context MCTS is used to solve the game tree. MCTS ...

Fuego 1.1 in a fraction of the time it took Fuego to play.

Convolutional neural network A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different ty ...

Most cited work

* Antoniou A, Storkey A, Edwards H. Data augmentation generative adversarial networks. arXiv preprint arXiv:1711.04340. 2017 Nov 1

According to

Google Scholar Google Scholar is a freely accessible web search engine that indexes the full text or metadata of Academic publishing, scholarly literature across an array of publishing formats and disciplines. Released in Beta release, beta in November 2004, th ...

, it has been cited 490 times.https://scholar.google.com/scholar?hl=en&as_sdt=0%2C33&q=Amos+storkey&btnG= Google Scholar Author page, Accessed June 14, 2021 *Burda Y, Edwards H, Storkey A, Klimov O. Exploration by random network distillation. arXiv preprint arXiv:1810.12894. 2018 Oct 30

According to Google Scholar, this paper has been cited 368 times *Burda Y, Edwards H, Pathak D, Storkey A, Darrell T, Efros AA. Large-scale study of curiosity-driven learning. arXiv preprint arXiv:1808.04355. 2018 Aug 13

According to Google Scholar, this paper has been cited 313 times *Everingham M, Zisserman A, Williams CK, Van Gool L, Allan M, Bishop CM, Chapelle O, Dalal N, Deselaers T, Dorkó G, Duffner S. The 2005 pascal visual object classes challenge. InMachine Learning Challenges Workshop 2005 Apr 11 (pp. 117–176

Springer, Berlin, Heidelberg. According to Google Scholar, this paper has been cited 306 times *Toussaint M, Storkey A. Probabilistic inference for solving discrete and continuous state Markov Decision Processes. InProceedings of the 23rd international conference on Machine learning 2006 Jun 25 (pp. 945–952

According to Google Scholar, this paper has been cited 217 times

References

{{DEFAULTSORT:Storkey, Amos 1971 births Living people Alumni of Trinity College, Cambridge Academics of the University of Edinburgh British computer scientists