Erik Bodin

According to our database, Erik Bodin authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Making Differentiable Architecture Search less local.

Erik Bodin, Federico Tomasi, Zhenwen Dai

CoRR, 2021

Black-box density function estimation using recursive partitioning.

Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Black-box density function estimation using recursive partitioning.

Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2020

Compositional uncertainty in deep Gaussian processes.

Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Modulating Surrogates for Bayesian Optimization.

Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Modulated Bayesian Optimization using Latent Gaussian Process Models.

Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2019

2018

Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation.

Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Nonparametric Inference for Auto-Encoding Variational Bayes.

Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell

CoRR, 2017

Latent Gaussian Process Regression.

Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2017