Markov Logic Networks: A step towards interpretable AI Speaker: Vladimir Despotovic (Faculty of Science, Technology and […]
ML Seminar #39
A data-driven approach for the prediction and optimization of an industrial scale chemical vapour deposition […]
ML Seminar #38
Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs Speaker: Soumianarayanan Vijayaraghavan (Faculty of […]
ML Seminar #37
Surrogate Deep Learning Framework for Real-Time Hyper-Elastic Simulations with Uncertainties Speaker: Saurabh Deshpande (Faculty of Science, […]
ML Seminar #36
Conformal Prediction – Machine Learning with Accuracy Guarantees Speaker: Marharyta Aleksandrova (Faculty of Science, Technology and […]
ML Seminar #35
TensAIR: an asynchronous and decentralized framework to distribute artificial neural networks training Speaker: Mauro Dalle Lucca […]
ML Seminar #34
Second-order methods for deep learning Speaker: Alessandro Temperoni (Faculty of Science, Technology and Medicine; University of […]
ML Seminar #33
Exploring significant predictors of freight rail intermodal operation delays using causal Machine Learning Speaker: Juan Pineda-Jaramillo […]
ML Seminar #32
Approximating Hessians for Neural Networks Speaker: Maciej Skorski (Faculty of Science, Technology and Medicine; University of […]
ML Seminar #31
Enhancing Public Transport Demand Information Using Crowdsourced Data Speaker: Piergiorgio Vitello (Faculty of Science, Technology and […]