Hampus Linander
Researcher in machine learning
Showing 11 publications
Finite-Time Lyapunov Exponents of Deep Neural Networks
Bayesian Posterior Approximation With Stochastic Ensembles
Looking at the posterior: accuracy and uncertainty of neural-network predictions
Geometric deep learning and equivariant neural networks
Equivariance versus Augmentation for Spherical Images
(2,0) Theory and Higher Spin: Twisting, Turning and Spinning Towards Higher Energies
The non-linear coupled spin 2 - spin 3 Cotton equation in three dimensions
Off-shell structure of twisted (2,0) theory
The trouble with twisting (2,0) theory
(2,0) theory on circle fibrations
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