Stefan Zohren

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Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Bryan LimPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Jan AmbjornNiels Bohr InstituteVerified email at nbi.dk
Zihao ZhangPostdoctoral Researcher, University of OxfordVerified email at robots.ox.ac.uk
Xiaowen DongUniversity of OxfordVerified email at robots.ox.ac.uk
Nicholas ChancellorDurham universityVerified email at durham.ac.uk
Samuel KesslerUniversity of OxfordVerified email at robots.ox.ac.uk
Diego GranziolDphil student, Oxford UniversityVerified email at robots.ox.ac.uk
Max AtkinUniversité Catholique de Louvain: UCLVerified email at physik.uni-bielefeld.de
Jan-Peter CalliessOxford UniversityVerified email at robots.ox.ac.uk
Richard D. GillEmeritus professor of Mathematical Statistics, Leiden UniversityVerified email at math.leidenuniv.nl
Qingsong Wen (文青松)Head of AI & Chief Scientist @ Squirrel AIVerified email at gatech.edu
Yaxuan KongUniversity of OxfordVerified email at eng.ox.ac.uk
Paul WarburtonUCLVerified email at ucl.ac.uk
Peer NagyDPhil Student at Oxford Man Institute of Quantitative Finance, University of OxfordVerified email at eng.ox.ac.uk
Joschka RoffeUniversity of EdinburghVerified email at ed.ac.uk
Dominic HorsmanSenior Research Fellow, University of OxfordVerified email at cs.ox.ac.uk
Georgios GiasemidisChoreographVerified email at aueb.gr
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Anatoly YambartsevProfessor, Probability and Statistics, University of São PauloVerified email at ime.usp.br

Stefan Zohren

University of Oxford

Verified email at eng.ox.ac.uk - Homepage

Machine Learning Finance Time Series Quantum Technologies Mathematical Physics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Time-series forecasting with deep learning: a survey B Lim, S Zohren Philosophical Transactions of the Royal Society A 379 (2194), 20200209, 2021	1670	2021
Deeplob: Deep convolutional neural networks for limit order books Z Zhang, S Zohren, S Roberts IEEE Transactions on Signal Processing 67 (11), 3001-3012, 2019	321	2019
Deep reinforcement learning for trading Z Zhang, S Zohren, S Roberts arXiv preprint arXiv:1911.10107, 2019	289	2019
Deep learning for portfolio optimization Z Zhang, S Zohren, S Roberts arXiv preprint arXiv:2005.13665, 2020	185	2020
Enhancing time series momentum strategies using deep neural networks B Lim, S Zohren, S Roberts arXiv preprint arXiv:1904.04912, 2019	118	2019
Maximal violation of the Collins-Gisin-Linden-Massar-Popescu inequality for infinite dimensional states S Zohren, RD Gill Physical review letters 100 (12), 120406, 2008	114	2008
Circuit design for multi-body interactions in superconducting quantum annealing systems with applications to a scalable architecture N Chancellor, S Zohren, PA Warburton npj Quantum Information 3 (1), 21, 2017	81	2017
Sentiment correlation in financial news networks and associated market movements X Wan, J Yang, S Marinov, JP Calliess, S Zohren, X Dong Scientific reports 11 (1), 3062, 2021	79	2021
Recurrent neural filters: Learning independent bayesian filtering steps for time series prediction B Lim, S Zohren, S Roberts 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	72	2020
A string field theory based on causal dynamical triangulations J Ambjørn, R Loll, Y Watabiki, W Westra, S Zohren Journal of High Energy Physics 2008 (05), 032, 2008	69	2008
Graphical structures for design and verification of quantum error correction N Chancellor, A Kissinger, S Zohren, J Roffe, D Horsman Quantum science and technology 8 (4), 045028, 2023	68*	2023
A matrix model for 2D quantum gravity defined by causal dynamical triangulations J Ambjørn, R Loll, Y Watabiki, W Westra, S Zohren Physics Letters B 665 (4), 252-256, 2008	67	2008
A direct mapping of max k-SAT and high order parity checks to a chimera graph N Chancellor, S Zohren, PA Warburton, SC Benjamin, S Roberts Scientific reports 6 (1), 37107, 2016	66	2016
Putting a cap on causality violations in causal dynamical triangulations J Ambjørn, R Loll, W Westra, S Zohren Journal of High Energy Physics 2007 (12), 017, 2007	63	2007
Learning rates as a function of batch size: A random matrix theory approach to neural network training D Granziol, S Zohren, S Roberts Journal of Machine Learning Research 23 (173), 1-65, 2022	53	2022
Same state, different task: Continual reinforcement learning without interference S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7143-7151, 2022	48	2022
A new continuum limit of matrix models J Ambjørn, R Loll, Y Watabiki, W Westra, S Zohren Physics Letters B 670 (3), 224-230, 2008	41	2008
Evidence for an entropy bound from fundamentally discrete gravity D Rideout, S Zohren Classical and quantum gravity 23 (22), 6195, 2006	40	2006
Hierarchical indian buffet neural networks for bayesian continual learning S Kessler, V Nguyen, S Zohren, SJ Roberts Uncertainty in artificial intelligence, 749-759, 2021	38*	2021
The emergence of background geometry from quantum fluctuations J Ambjørn, R Janik, W Westra, S Zohren Physics Letters B 641 (1), 94-98, 2006	37	2006

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