Christian Marius Lillelund

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Image Denoising

Sparse And Redundant Representations

Privacy Guarantees

Computationally Efficient

Top Venues

SN Comput. Sci.

Publications

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 (2024)
Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks. CoRR (2024)
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 (2024)
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 (2023)
Christian Marius Lillelund, Henrik Bagger Jensen, Christian Fischer Pedersen
Cloud K-SVD for Image Denoising. CoRR (2023)
Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
Uncertainty Estimation in Deep Bayesian Survival Models. BHI (2023)
Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen, Christian Fischer Pedersen
Predicting Survival Time of Ball Bearings in the Presence of Censoring. CoRR (2023)
Christian Marius Lillelund, Henrik Bagger Jensen, Christian Fischer Pedersen
Cloud K-SVD for Image Denoising. SN Comput. Sci. 3 (2) (2022)
Osvald Frisk, Friedrich Dörmann, Christian Marius Lillelund, Christian Fischer Pedersen
Super-convergence and Differential Privacy: Training faster with better privacy guarantees. CoRR (2021)
Osvald Frisk, Friedrich Dörmann, Christian Marius Lillelund, Christian Fischer Pedersen
Super-convergence and Differential Privacy: Training faster with better privacy guarantees. CISS (2021)