List of works - Michael Riis Andersen

Bayesian Inference for Structured Spike and Slab Priors ⬇️

scientific article 2014 NIPS version

Bayesian Structure Learning for Dynamic Brain Connectivity ⬇️

scientific article published in April 2018

Bayesian inference for spatio-temporal spike and slab priors ⬇️

long version on 48 pages

Challenges and Opportunities in High-dimensional Variational Inference ⬇️

EB-NeRD a large-scale dataset for news recommendation

EEG source imaging assists decoding in a face recognition task ⬇️

scientific article published on 17 April 2017

GAST: Geometry-Aware Structure Transformer ⬇️

scientific article published in January 2024

Kinect Depth Sensor Evaluation for Computer Vision Applications ⬇️

Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery

Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote

scientific article (publication date: September 2013)

NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm

scientific article published in September 2024

Neural machine translation for automated feedback on children’s early-stage writing ⬇️

scientific article published on 3 November 2023

On the role of model uncertainties in Bayesian optimisation ⬇️

scientific article published in 2023

Polygonizer: An auto-regressive building delineator ⬇️

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming ⬇️

scientific article

Preferential Batch Bayesian Optimization

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations

Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems ⬇️

scientific article published on 19 August 2015

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes

scientific article published in 2020

Uncertainty-aware sensitivity analysis using Rényi divergences ⬇️

scientific article

Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution ⬇️

When Did the Train Arrive? A Bayesian Approach to Enrich Timetable Information Using Smart Card Data

scientific article

List of works by Michael Riis Andersen

Bayesian Inference for Structured Spike and Slab Priors ⬇️

Bayesian Structure Learning for Dynamic Brain Connectivity ⬇️

Bayesian inference for spatio-temporal spike and slab priors ⬇️

Challenges and Opportunities in High-dimensional Variational Inference ⬇️

EB-NeRD a large-scale dataset for news recommendation

EEG source imaging assists decoding in a face recognition task ⬇️

GAST: Geometry-Aware Structure Transformer ⬇️

Kinect Depth Sensor Evaluation for Computer Vision Applications ⬇️

Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery

Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote

NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm

Neural machine translation for automated feedback on children’s early-stage writing ⬇️

On the role of model uncertainties in Bayesian optimisation ⬇️

Polygonizer: An auto-regressive building delineator ⬇️

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming ⬇️

Preferential Batch Bayesian Optimization

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations

Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems ⬇️

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes

Uncertainty-aware sensitivity analysis using Rényi divergences ⬇️

Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution ⬇️

When Did the Train Arrive? A Bayesian Approach to Enrich Timetable Information Using Smart Card Data