3 papers
cs.LG2026
Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection
Guillaume Coulaud, Reza Akbarinia, Florent Masseglia
Reconstruction-based methods are widely used for time series anomaly detection, where models are trained to reconstruct subsequences, and anomalies are identified through reconstru…
cs.LG2026
On Gossip Algorithms for Machine Learning with Pairwise Objectives
Igor Colin, Aurélien Bellet, Stephan Clémençon +1
In the IoT era, information is more and more frequently picked up by connected smart sensors with increasing, though limited, storage, communication and computation abilities. Whet…
stat.ML2026
TRAKNN: Efficient Trajectory Aware Spatiotemporal kNN for Rare Meteorological Trajectory Detection
Guillaume Coulaud, Davide Faranda
Extreme weather events, such as windstorms and heatwaves, are driven by persistent atmospheric circulation patterns that evolve over several consecutive days. While traditional cir…