Hugo Math
YOU?
Author Swipe
View article: One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences Open
Understanding causality in event sequences with thousands of sparse event types is critical in domains such as healthcare, cybersecurity, or vehicle diagnostics, yet current methods fail to scale. We present OSCAR, a one-shot causal autore…
View article: Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation Open
Understanding causality in event sequences where outcome labels such as diseases or system failures arise from preceding events like symptoms or error codes is critical. Yet remains an unsolved challenge across domains like healthcare or v…
View article: Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach Open
In this paper, we draw an analogy between processing natural languages and processing multivariate event streams from vehicles in order to predict when and what error pattern is most likely to occur in the future for a given car. Our appro…
View article: Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach Open
In this paper, we draw an analogy between processing natural languages and processing multivariate event streams from vehicles in order to predict $\textit{when}$ and $\textit{what}$ error pattern is most likely to occur in the future for …