2 papers
cs.CV2019
Explicit Disentanglement of Appearance and Perspective in Generative Models
Nicki Skafte Detlefsen, Søren Hauberg
Disentangled representation learning finds compact, independent and easy-to-interpret factors of the data. Learning such has been shown to require an inductive bias, which we expli…
stat.ML2019
Reliable training and estimation of variance networks
Nicki S. Detlefsen, Martin Jørgensen, Søren Hauberg
We propose and investigate new complementary methodologies for estimating predictive variance networks in regression neural networks. We derive a locally aware mini-batching scheme…