Erik Bodin
Erik Bodin
Postdoc at the Alan Turing Institute
Verified email at erikbodin.com
Title
Cited by
Cited by
Year
Latent gaussian process regression
E Bodin, NDF Campbell, CH Ek
arXiv preprint arXiv:1707.05534, 2017
122017
Nonparametric Inference for Auto-Encoding Variational Bayes
E Bodin, I Malik, CH Ek, NDF Campbell
Advances in Approximate Bayesian Inference @ NeurIPS 2017, 2017
92017
Compositional uncertainty in deep Gaussian processes
I Ustyuzhaninov, I Kazlauskaite, M Kaiser, E Bodin, NDF Campbell, CH Ek
The Conference on Uncertainty in Artificial Intelligence (UAI 2020), 2019
82019
Gaussian process deep belief networks: A smooth generative model of shape with uncertainty propagation
A Di Martino, E Bodin, CH Ek, NDF Campbell
Asian Conference on Computer Vision, 3-20, 2018
22018
Modulating Surrogates for Bayesian Optimization
E Bodin, M Kaiser, I Kazlauskaite, Z Dai, NDF Campbell, CH Ek
International Conference on Machine Learning (ICML 2020), 2019
12019
Making Differentiable Architecture Search less local
E Bodin, F Tomasi, Z Dai
Workshop on Neural Architecture Search (ICLR 2021), 2021
2021
Black-box density function estimation using recursive partitioning
E Bodin, Z Dai, NDF Campbell, CH Ek
International Conference on Machine Learning (ICML 2021), 2020
2020
Black-box density function estimation using recursive partitioning Supplementary material
E Bodin, Z Dai, NDF Campbell, CH Ek
Density function estimation using ergodic recursion
E Bodin, Z Dai, NDF Campbell, CH Ek
Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), 0
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