204 citations · 321 across the 28 of their papers we have counts for
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cs.LG2021
Greedy Bayesian Posterior Approximation with Deep Ensembles
Aleksei Tiulpin, Matthew B. Blaschko
Ensembles of independently trained neural networks are a state-of-the-art approach to estimate predictive uncertainty in Deep Learning, and can be interpreted as an approximation o…
cs.LG2021★ 1 cited
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting
Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko +1
In medical applications, deep learning methods are built to automate diagnostic tasks. However, a clinically relevant question that practitioners usually face, is how to predict th…