| Time-series forecasting with deep learning: a survey B Lim, S Zohren Philosophical transactions of the royal society a: mathematical, physical …, 2021 | 2406 | 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 | 405 | 2019 |
| Deep reinforcement learning for trading Z Zhang, S Zohren, S Roberts arXiv preprint arXiv:1911.10107, 2019 | 390 | 2019 |
| Deep learning for portfolio optimization Z Zhang, S Zohren, S Roberts arXiv preprint arXiv:2005.13665, 2020 | 255 | 2020 |
| A survey of large language models for financial applications: Progress, prospects and challenges Y Nie, Y Kong, X Dong, JM Mulvey, HV Poor, Q Wen, S Zohren arXiv preprint arXiv:2406.11903, 2024 | 160* | 2024 |
| Enhancing time series momentum strategies using deep neural networks B Lim, S Zohren, S Roberts arXiv preprint arXiv:1904.04912, 2019 | 145 | 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 | 117 | 2008 |
| 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 | 103 | 2021 |
| 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 | 84 | 2022 |
| 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 | 83 | 2017 |
| 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 | 80* | 2023 |
| 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 | 79 | 2020 |
| 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 | 79 | 2016 |
| Unlocking the power of lstm for long term time series forecasting Y Kong, Z Wang, Y Nie, T Zhou, S Zohren, Y Liang, P Sun, Q Wen Proceedings of the AAAI Conference on Artificial Intelligence 39 (11), 11968 …, 2025 | 75 | 2025 |
| 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 |
| 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 | 66 | 2022 |
| 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 | 56 | 2008 |
| Multi-horizon forecasting for limit order books: Novel deep learning approaches and hardware acceleration using intelligent processing units Z Zhang, S Zohren arXiv preprint arXiv:2105.10430, 2021 | 54 | 2021 |
| 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 | 54 | 2007 |
| Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers A Arroyo, A Cartea, F Moreno-Pino, S Zohren Quantitative Finance 24 (1), 35-57, 2024 | 47 | 2024 |
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
