Tübingen Machine Learning
Publishes 5 feeds
Probabilistic Machine Learning — Philipp Hennig, 2021
15 posts · theirs
Computer Vision — Andreas Geiger
15 posts · theirs
Mathematics for Machine Learning — Ulrike von Luxburg, 2020/21
15 posts · theirs
Numerics of Machine Learning (Winter 2022/23)
14 posts · theirs
Essential Statistics – Philipp Berens, 2020/21
10 posts · theirs
Lately
Computer Vision - Lecture 1.1 (Introduction: Organization)
Numerics of ML 14 -- Conclusion -- Philipp Hennig
Numerics of ML 13 -- Uncertainty in Deep Learning -- Agustinus Kristiadi
Numerics of ML 12 -- Second-Order Optimization for Deep Learning -- Lukas Tatzel
Numerics of ML 11 --Optimization for Deep Learning -- Frank Schneider
Numerics of ML 10 -- Bayesian Quadrature -- Philipp Hennig
Numerics of ML 9 -- Monte Carlo -- Philipp Hennig
Numerics of ML 8 -- Partial Differential Equations -- Marvin Pförtner
Numerics of ML 6 -- Solving Ordinary Differential Equations -- Nathanael Bosch
Numerics of ML 7 -- Probabilistic Numerical ODE Solvers -- Nathanael Bosch
Numerics of ML 5 -- State-Space Models -- Jonathan Schmidt
Numerics of ML 4 -- Computation-Aware Gaussian Processes -- Jonathan Wenger
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