Uncertainty precision and reliability of Ecohydrological models: Bayesian model selection Speaker: Damian Mingo Ndiwago (Faculty of […]
ML Seminar #19
Machine learning for molecular simulations Speaker: Igor Poltavskyi (Department of Physics and Materials Science; Faculty of […]
ML Seminar #18
Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions […]
ML Seminar #17
Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application […]
ML Seminar #16
Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network Speaker: Zhiqiang Zhong (Faculty of Science, […]
ML Seminar #15
Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network Speaker: Saurabh Deshpande & Milad Zeraatpisheh […]
ML Seminar #14
The effect of self-paced neurofeedback on EEG learning: An experimental setup. Speaker: Arif Sinan Uslu (Faculty […]
ML Seminar #13
Comparison of MC dropout and Bayesian Neural Networks Speaker: Milad Zeraatpisheh (Faculty of Science, Technology and […]
ML Seminar #12
Unsupervised learning to select modes for reduced-order models of hyperelastoplasticity: application to RVEs Speaker: Lars Beex […]
ML Seminar #11
A Physics-guided Machine Learning Model Based on Peridynamics Speaker: Erkan Oterkus (Department of Naval Architecture, Ocean, […]