Seminário Matemática, Física & Aprendizagem Automática – Lindsey Gray
“Graph Neural Networks for Pattern Recognition in Particle Physics.” - 18h...
“Graph Neural Networks for Pattern Recognition in Particle Physics.” - 18h...
“Combining knowledge and data driven methods for solving inverse imaging problems - getting the best from both worlds”, 15h, via...
“Machine Learning and Scientific Computing”, 11h, via Zoom ...
“TensorFlow Quantum: An open source framework for hybrid quantum-classical machine learning.”, 17h30...
O projeto em desenvolvimento desde 2019 foi apresentado no passado dia 30 de junho no Aeródromo de Santa Cruz, em Torres...
“Progress and hurdles in the statistical mechanics of deep learning.”, 17h30...
“On the Interplay between Physics and Deep Learning”, 17h30...
“Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting”, 17h30...
“How we discovered the Higgs ahead of schedule ML's role in unveiling the keystone of elementary particle physics”, 17h00...
“Reinforcement Learning and Adaptive Control”, 17h30...
“Learning from distributed datasets: an introduction with two examples” - 17h30...
“Climate action and cooperation dynamics under uncertainty”, 17h30...
A Sociedade Portuguesa de Robótica distinguiu Pedro Lourenço e Pedro Trindade, autores da melhor tese de doutoramento e da melhor dissertação...
“Path integral control theory”, 17h30...
“Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau”, 17h30...
“Computation, Statistics, and Optimization of random functions”, 17h30...
“The learning machine and beyond: a tour for the curious”, 17h30...
O projeto liderado pelo Instituto de Sistemas e Robótica será um dos contemplados com o apoio da linha de financiamento excecional...