E-LIB Suche - Ergebnisse für: Bodin, Erik

1

BÁRTA, Dan / GUSTAV BROM BIG BAND: I Killed This Song at Ka..

Naxos Music Library Jazz

Lennox, Annie ; Stewart, Dave ; Mailie, Tommy... , 2021

Link: http://suub.naxosmusicli..

2

APOCALYPTIC BRASS COLLECTIVE: EPic

Naxos Music Library Jazz

D'Angelo ; Muhammad, Ali Shaheed ; Smith, Sam... , 2019

Link: http://suub.naxosmusicli..

3

Gaussian Process Deep Belief Networks: A Smooth Generative ..:

, In: Computer Vision – ACCV 2018; Lecture Notes in Computer Science,

Di Martino, Alessandro ; Bodin, Erik ; Ek, Carl Henrik. - p. 3-20 , 2019

Link: https://doi.org/10.1007/..

4

Black-box density function estimation using recursive parti..:

Bodin, Erik ; Dai, Zhenwen ; Campbell, Neill D. F.
Bodin , E , Dai , Z , Campbell , N D F & Ek , C H 2021 , Black-box density function estimation using recursive partitioning . in Proceedings of the 38th International Conference on Machine Learning, PMLR . vol. 139 , Proceedings of Machine Learning Research , vol. 139 , pp. 1015-1025 , International Conference on Machine Learning , 18/07/21 .. , 2021

Link: https://hdl.handle.net/1..

5

Making Differentiable Architecture Search less local:

Bodin, Erik ; Tomasi, Federico ; Dai, Zhenwen
Bodin , E , Tomasi , F & Dai , Z 2021 , ' Making Differentiable Architecture Search less local ' , Ninth International Conference on Learning Representations , 3/05/21 - 7/05/21 .. , 2021

Link: https://hdl.handle.net/1..

6

Making Differentiable Architecture Search less local:

Bodin, Erik ; Tomasi, Federico ; Dai, Zhenwen
http://arxiv.org/abs/2104.10450. , 2021

Link: http://arxiv.org/abs/210..

7

Black-box density function estimation using recursive parti..:

Bodin, Erik ; Dai, Zhenwen ; Campbell, Neill D. F.
http://arxiv.org/abs/2010.13632. , 2020

Link: http://arxiv.org/abs/201..

8

Modulating Surrogates for Bayesian Optimization:

Bodin, Erik ; Kaiser, Markus ; Kazlauskaite, Ieva...
Bodin , E , Kaiser , M , Kazlauskaite , I , Dai , Z , bath , U & Ek , C H 2020 , Modulating Surrogates for Bayesian Optimization . in 37th International Conference on Machine Learning, ICML 2020 . vol. 119 , pp. 947-956 , 37th International Conference on Machine Learning (ICML 2020) , 12/07/20 .. , 2020

Link: https://hdl.handle.net/1..

9

Compositional uncertainty in deep Gaussian processes:

Ustyuzhaninov, Ivan ; Kazlauskaite, Ieva ; Kaiser, Markus...
Ustyuzhaninov , I , Kazlauskaite , I , Kaiser , M , Bodin , E , Campbell , N D F & Ek , C H 2020 , Compositional uncertainty in deep Gaussian processes . in Proceedings of UAI 2020 : Conference on Uncertainty in Artificial Intelligence, 3-6 August 2020, Virtual . Proceedings of Machine Learning Research , vol. 124 , pp. 480-489 , The Conference on Uncertainty in Artificial Intelligence (UAI 2020) , 3/08/20 .. , 2020

Link: https://hdl.handle.net/1..

10

Compositional Uncertainty in Deep Gaussian Processes:

Ustyuzhaninov, Ivan ; Kazlauskaite, Ieva ; Kaiser, Markus...
Ustyuzhaninov , I , Kazlauskaite , I , Kaiser , M , Bodin , E , Campbell , N & Ek , C H 2019 , ' Compositional Uncertainty in Deep Gaussian Processes ' , Paper presented at The Conference on Uncertainty in Artificial Intelligence , 3/08/20 - 6/08/20 .. , 2019

Link: https://researchportal.b..

11

Modulating Surrogates for Bayesian Optimization:

Bodin, Erik ; Kaiser, Markus ; Kazlauskaite, Ieva...
http://arxiv.org/abs/1906.11152. , 2019

Link: http://arxiv.org/abs/190..

12

Compositional uncertainty in deep Gaussian processes:

Ustyuzhaninov, Ivan ; Kazlauskaite, Ieva ; Kaiser, Markus...
http://arxiv.org/abs/1909.07698. , 2019

Link: http://arxiv.org/abs/190..

13

Gaussian Process Deep Belief Networks: A Smooth Generative ..:

Di Martino, Alessandro ; Bodin, Erik ; Ek, Carl Henrik.
http://arxiv.org/abs/1812.05477. , 2018

Link: http://arxiv.org/abs/181..

14

Nonparametric Inference for Auto-Encoding Variational Bayes:

Bodin, Erik ; Malik, Iman ; Ek, Carl Henrik.
http://arxiv.org/abs/1712.06536. , 2017

Link: http://arxiv.org/abs/171..

15

Latent Gaussian Process Regression:

Bodin, Erik ; Campbell, Neill D. F ; Ek, Carl Henrik
http://arxiv.org/abs/1707.05534. , 2017

Link: http://arxiv.org/abs/170..