A Scalable Approach to Econometric Inference. - Philip Nadler; Rossella Arcucci; Yi-Ke Guo (PARCO, 2019)

Data Assimilation for Parameter Estimation in Economic Modelling. - Philip Nadler; Rossella Arcucci; Yi-Ke Guo (SITIS, 2019)

An Econophysical Analysis of the Blockchain Ecosystem. - Philip Nadler; Rossella Arcucci; Yike Guo (MARBLE, 2020)

A Neural SIR Model for Global Forecasting. - Philip Nadler; Rossella Arcucci; Yike Guo (ML4H@NeurIPS, 2020)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. - Shuo Wang 011; Xian Yang 001; Ling Li 010; Philip Nadler; Rossella Arcucci; Yuan Huang 009; Zhongzhao Teng; Yike Guo (IEEE Comput. Intell. Mag., 2020)

An Epidemiological Modelling Approach for Covid19 via Data Assimilation. - Philip Nadler; Shuo Wang 011; Rossella Arcucci; Xian Yang 001; Yike Guo (CoRR, 2020)

Efficient Analysis of Transactional Data Using Graph Convolutional Networks. - Hamish Hall; Pedro Baiz; Philip Nadler (PKDD/ECML Workshops (2), 2021)

Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model. - Jean-Noël Tuccella; Philip Nadler; Ovidiu Serban (CoRR, 2021)

A Scalable Inference Method For Large Dynamic Economic Systems. - Pratha Khandelwal; Philip Nadler; Rossella Arcucci; William J. Knottenbelt; Yi-Ke Guo (CoRR, 2021)

Data Learning: Integrating Data Assimilation and Machine Learning. - Caterina Buizza; César Quilodrán Casas; Philip Nadler; Julian Mack; Stefano Marrone 002; Zainab Titus; Clémence Le Cornec; Evelyn Heylen; Tolga Hasan Dur; Luis G. Baca Ruíz; Claire E. Heaney; Julio Amador Díaz López; et al. (J. Comput. Sci., 2022)