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6 papers · 1 filter
Learning via Surrogate PAC-Bayes
Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj
PAC-Bayes learning is a comprehensive setting for (i) studying the generalisation ability of learning algorithms and (ii) deriving new learning algorithms by optimising a generalis…
General theory for extended-range percolation on simple and multiplex networks
Lorenzo Cirigliano, Claudio Castellano, Ginestra Bianconi
Extended-range percolation is a robust percolation process that has relevance for quantum communication problems. In extended-range percolation nodes can be trusted or untrusted. U…
Mapping the individual, social, and biospheric impacts of Foundation Models
Andrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini +9
Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the…
Time topological analysis of EEG using signature theory
Stéphane Chrétien, Ben Gao, Astrid Thebault-Guiochon +1
Anomaly detection in multivariate signals is a task of paramount importance in many disciplines (epidemiology, finance, cognitive sciences and neurosciences, oncology, etc.). In th…
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
Lawrence A. Bull, Chiho Jeon, Mark Girolami +3
We suggest a multilevel model, to represent aggregate train-passing events from the Staffordshire bridge monitoring system. We formulate a combined model from simple units, represe…
Epidemic modelling requires knowledge of the social network
Samuel Johnson
Compartmental models of epidemics are widely used to forecast the effects of communicable diseases such as COVID-19 and to guide policy. Although it has long been known that such p…