6 papers
MultiSigBERT: Beyond Survival Analysis through Multimodal and Sequential Modeling in Oncology
Paul Minchella, Stéphane Chrétien, Guillaume Metzler +2
Machine learning has become an essential component of modern healthcare, where the integration of heterogeneous data sources offers unprecedented opportunities to improve clinical…
A Langevin sampler for quantum tomography
Tameem Adel, Abhishek Agarwal, Stéphane Chrétien +4
Quantum tomography involves obtaining a full classical description of a prepared quantum state from experimental results. We propose a Langevin sampler for quantum tomography, that…
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…
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…
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…
A Component-wise EM Algorithm for Mixtures
Gilles Celeux, Stéphane Chrétien, Florence Forbes
In some situations, EM algorithm shows slow convergence problems. One possible reason is that standard procedures update the parameters simultaneously. In this paper we focus on fi…