123 citations · 876 across the 50 of their papers we have counts for
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Markovian Score Climbing: Variational Inference with KL(p||q)
Christian A. Naesseth, Fredrik Lindsten, David Blei
Modern variational inference (VI) uses stochastic gradients to avoid intractable expectations, enabling large-scale probabilistic inference in complex models. VI posits a family of…
A general framework for ensemble distribution distillation
Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten +1
Ensembles of neural networks have been shown to give better performance than single networks, both in terms of predictions and uncertainty estimation. Additionally, ensembles allow…
Deep Gaussian Markov Random Fields
Per Sidén, Fredrik Lindsten
Gaussian Markov random fields (GMRFs) are probabilistic graphical models widely used in spatial statistics and related fields to model dependencies over spatial structures. We esta…