4 papers
From Jumps to Signatures: a Generative Method for Temporal Point Processes
Niels Cariou-Kotlarek, Vasileios Lampos
Rough path signatures are a universal feature map for continuous paths and, via the expected signature, characterise path distributions. These guarantees do not directly extend to…
Machine-generated text detection prevents language model collapse
George Drayson, Emine Yilmaz, Vasileios Lampos
As Large Language Models (LLMs) become increasingly prevalent, their generated outputs are proliferating across the web, risking a future where machine-generated content dilutes hu…
Tracking COVID-19 using online search
Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov +6
Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search que…
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu, Vasileios Lampos
In multivariable time series (MTS) forecasting, existing state-of-the-art deep learning approaches tend to focus on autoregressive formulations and often overlook the potential of…