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Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?2023 ACM Transactions on Reconfigurable Technology and Systems article Computer Science Embedded Systems Design Techniques Open access
Anouar Nechi, Lukas Groth, Saleh Mulhem, Farhad Merchant, Rainer Buchty, Mladen Bereković
73citations -
Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study
Richard A. J. Howey, Jonathan Adam, Jerzy Adamski, Natalie N. Atabaki, Søren Brunak, Piotr Jaroslaw Chmura, +32 more
1citations -
Unified field theoretical approach to deep and recurrent neuronal networks2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access
Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias
17citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks2022 Journal of the American Medical Informatics Association article Computer Science Privacy-Preserving Technologies in Data Open access
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
6citations