Zohren, Stefan

6 publications

ICML 2025 LOB-Bench: Benchmarking Generative AI for Finance - An Application to Limit Order Book Data Peer Nagy, Sascha Yves Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob Nicolaus Foerster

AAAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

JMLR 2022 Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training Diego Granziol, Stefan Zohren, Stephen Roberts

AAAI 2022 Same State, Different Task: Continual Reinforcement Learning Without Interference Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts

UAI 2021 Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts

ICLR 2020 Towards Understanding the True Loss Surface of Deep Neural Networks Using Random Matrix Theory and Iterative Spectral Methods Diego Granziol, Timur Garipov, Dmitry Vetrov, Stefan Zohren, Stephen Roberts, Andrew Gordon Wilson