Artificial Neural Network Method Based on Boundary Integral Equations Video recording: Speaker: Han Zhang (University of […]
ML Seminar #59
Using Physics-Informed constrained neural network to reconstruct the motion of the particles for time more […]
ML Seminar #58
Design of a chat bot for service-now knowledge base Video recording: Speaker: Aishwarya Krishnan (Faculty of […]
ML Seminar #57
The problem with GPT for the Humanities (and for humanity) Video recording: Speaker: Lorella Viola (Luxembourg […]
ML Seminar #56
Gaussian Process Regression with anisotropic kernel for supervised feature selection Video recording: Speaker: Aubin Geoffre (École […]
ML Seminar #55
Non-parametric data-driven constitutive modelling using artificial neural networks Video recording: Speaker: Vu M. Chau (Department of […]
ML Seminar #54
Deformation approximation: Improve your Artificial Neural Network training using the Finite Element Method formulation. A […]
ML Seminar #53
Parametric model order reduction with an adaptive greedy sampling approach based on surrogate modeling. An […]
ML Seminar #52
Kernel Thinning and Stein Thinning Video recording: Speaker: Lester Mackey (Microsoft Research New England & Stanford […]
ML Seminar #51
ELBO-within-Stein: General and integrated Stein Variational Inference Video recording: Speaker: Ola Rønning (Department of Computer Science, […]