5 papers
HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series
Jonas Petersen, Gian-Alessandro Lombardi, Riccardo Maggioni +3
Critical events in multivariate time series, from turbine failures to cardiac arrhythmias, demand accurate prediction, yet labeled data is scarce because such events are rare and c…
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5
We introduce the first universal pretraining corpus for industrial time-series data: FactoryNet. 51M datapoints across 23k end-to-end task executions (13.3k real, 9.8k synthetic) o…
What Structural Inductive Bias Helps Transformers Reason Over Knowledge Graphs? A Study with Tabula RASA
Jonas Petersen, Camilla Mazzoleni, Gian-Alessandro Lombardi +2
What structural inductive bias helps transformers reason over knowledge graphs? Through controlled ablations of a minimal transformer modification with four independently removable…
FactoryBench: Evaluating Industrial Machine Understanding
Yanis Merzouki, Coral Izquierdo, Matei Ignuta-Ciuncanu +8
We introduce FactoryBench, a benchmark for evaluating time-series models and LLMs on machine understanding over industrial robotic telemetry. Q&A pairs are organized along four cau…
Distributed Time-Varying Gaussian Regression via Kalman Filtering
Nicola Taddei, Riccardo Maggioni, Jaap Eising +2
We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task…