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cs.LG2025
Conformal Online Learning of Deep Koopman Linear Embeddings
Ben Gao, Jordan Patracone, Stéphane Chrétien +1
We introduce Conformal Online Learning of Koopman embeddings (COLoKe), a novel framework for adaptively updating Koopman-invariant representations of nonlinear dynamical systems fr…
cs.CL2025
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology
Paul Minchella, Loïc Verlingue, Stéphane Chrétien +2
Electronic medical reports (EHR) contain a vast amount of information that can be leveraged for machine learning applications in healthcare. However, existing survival analysis met…
q-bio.QM2025
Detecting malignant dynamics on very few blood sample using signature coefficients
Rémi Vaucher, Stéphane Chrétien
Recent discoveries have suggested that the promising avenue of using circulating tumor DNA (ctDNA) levels in blood samples provides reasonable accuracy for cancer monitoring, with…