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Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts

Felix Drinkall, Stefan Zohren and Janet Pierrehumbert

2022

First Hitting Time Guarantees for Nonlinear Time Series Models

Julian Huang and Jan-Peter Calliess

2021

Neural Policy Learning of Interpretable Trading Strategies using Inductive Prior Knowledge

Fabian Krause and Jan-Peter Calliess

2021

Componentwise Hölder Inference for Robust Learning-Based MPC

Jan-Peter Calliess

2021

Bayesian Topic Regression for Causal Inference

Maximilian Ahrens and Jan-Peter Calliess

2021

Sentiment correlation in financial news networks and associated market movements

Jan-Peter Calliess, Stefan Zohren and Xiaowen Dong

2021

Online learning constrained model predictive control based on double prediction

Jan-Peter Calliess

2021

Recurrent Neural Network Structures for Learning Control Valve Behaviour

Steve Roberts and Jan-Peter Calliess

2021

Extracting Economic Signals from Central Bank Speeches

Maximilian Ahrens

2021

Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint

Xingyue Pu and Xiaowen Dong

2021

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

Steve Roberts

2020

MLRG Deep Curvature

Steve Roberts

2020

DYNOTEARS: Structure Learning from Time-Series Data