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Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access
Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2citations -
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access
Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
0citations -
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Toyotaro Suzumura, Manish Singh
0citations -
NUMA balancing hampering performance of spiking network simulations2026 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Melissa Lober, Alp Inangu, Gorka Peraza Coppola, D. Terhorst, Sebastian Gillessen, Jan Vogelsang, +6 more
0citations -
A Hybrid Modeling Framework for Generalizable and Interpretable Predictions of ICU Mortality: Leveraging ICD Codes in a Multi-Hospital Study of Mechanically Ventilated Influenza Patients
Moein E. Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, Hedieh Mirzaieazar, Konstantin Sharafutdinov, Sebastian Johannes Fritsch, +1 more
2citations