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Christian Marius Lillelund
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2020 – today
- 2024
- [i8]Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen:
Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks. CoRR abs/2404.06421 (2024) - [i7]Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen, Manuel Morante, Christian Fischer Pedersen:
A probabilistic estimation of remaining useful life from censored time-to-event data. CoRR abs/2405.01614 (2024) - [i6]Lena Todnem Bach Christensen, Dikte Straadt, Stratos Vassis, Christian Marius Lillelund, Peter Bangsgaard Stoustrup, Ruben Pauwels, Thomas Klit Pedersen, Christian Fischer Pedersen:
An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. CoRR abs/2405.01617 (2024) - [i5]Christian Marius Lillelund, Ali Hossein Gharari Foomani, Weijie Sun, Shiang Qi, Russell Greiner:
MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring. CoRR abs/2409.06525 (2024) - 2023
- [c2]Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen:
Uncertainty Estimation in Deep Bayesian Survival Models. BHI 2023: 1-4 - [i4]Christian Marius Lillelund, Henrik Bagger Jensen, Christian Fischer Pedersen:
Cloud K-SVD for Image Denoising. CoRR abs/2303.00755 (2023) - [i3]Jimmi Agerskov, Kristian Nielsen, Christian Marius Lillelund, Christian Fischer Pedersen:
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval. CoRR abs/2303.16766 (2023) - [i2]Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen, Christian Fischer Pedersen:
Predicting Survival Time of Ball Bearings in the Presence of Censoring. CoRR abs/2309.07188 (2023) - 2022
- [j1]Christian Marius Lillelund, Henrik Bagger Jensen, Christian Fischer Pedersen:
Cloud K-SVD for Image Denoising. SN Comput. Sci. 3(2): 151 (2022) - 2021
- [c1]Osvald Frisk, Friedrich Dörmann, Christian Marius Lillelund, Christian Fischer Pedersen:
Super-convergence and Differential Privacy: Training faster with better privacy guarantees. CISS 2021: 1-6 - [i1]Osvald Frisk, Friedrich Dörmann, Christian Marius Lillelund, Christian Fischer Pedersen:
Super-convergence and Differential Privacy: Training faster with better privacy guarantees. CoRR abs/2103.10498 (2021)
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last updated on 2024-10-14 23:30 CEST by the dblp team
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