Tim Bakker
Tim Bakker
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Conference paper
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Date
2022
2021
2020
Tim Bakker
,
Herke van Hoof
,
Max Welling
(2022).
Learning objective-specific active learning strategies with Attentive Neural Processes
. Under submission at TMLR.
PDF
Teodora Pandeva
,
Tim Bakker
,
Christian A. Naesseth
,
Patrick Forre
(2022).
E-Valuating Classifier Two-Sample Tests
. Under submission at ICML 2023..
PDF
Tim Bakker
,
Matthew Muckley
,
Adriana Romero-Soriano
,
Michal Drozdzal
,
Luis Pineda
(2022).
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
. MIDL 2022.
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Sierk Kanis
,
Laurens Samson
,
Daan Bloembergen
,
Tim Bakker
(2021).
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
. UrbComp 2021,
Best Paper Award runner-up
.
PDF
Code
Video
Tim Bakker
,
Herke van Hoof
,
Max Welling
(2020).
Experimental design for MRI by greedy policy search
. NeurIPS 2020,
Spotlight
.
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