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Martin Kukla
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 5
Top Topics
Rare Events
Discrete Data
Causal Inference
Deep Learning
Top Venues
CoRR
AKBC
Trans. Mach. Learn. Res.
NeurIPS
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Publications
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Tomas Geffner
,
Javier Antorán
,
Adam Foster
,
Wenbo Gong
,
Chao Ma
,
Emre Kiciman
,
Amit Sharma
,
Angus Lamb
,
Martin Kukla
,
Nick Pawlowski
,
Agrin Hilmkil
,
Joel Jennings
,
Meyer Scetbon
,
Miltiadis Allamanis
,
Cheng Zhang
Deep End-to-end Causal Inference.
Trans. Mach. Learn. Res.
2024 (2024)
Tomas Geffner
,
Javier Antoran
,
Adam Foster
,
Wenbo Gong
,
Chao Ma
,
Emre Kiciman
,
Amit Sharma
,
Angus Lamb
,
Martin Kukla
,
Nick Pawlowski
,
Miltiadis Allamanis
,
Cheng Zhang
Deep End-to-end Causal Inference.
CoRR
(2022)
Hippolyt Ritter
,
Martin Kukla
,
Cheng Zhang
,
Yingzhen Li
Sparse Uncertainty Representation in Deep Learning with Inducing Weights.
NeurIPS
(2021)
Hippolyt Ritter
,
Martin Kukla
,
Cheng Zhang
,
Yingzhen Li
Sparse Uncertainty Representation in Deep Learning with Inducing Weights.
CoRR
(2021)
John M. Winn
,
John Guiver
,
Sam Webster
,
Yordan Zaykov
,
Martin Kukla
,
Dany Fabian
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program.
AKBC
(2019)