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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 -
Converting networks to predictive logic models from perturbation signalling data with CellNOpt2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access
Enio Gjerga, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Franceco Ceccarelli, Aurélien J. F. Dugourd, +2 more
37citations -
A Generative Adversarial Network Approach to Predict Nanoparticle Size in Microfluidics2024 ACS Biomaterials Science & Engineering article Engineering Microfluidic and Capillary Electrophoresis Applications
Sara Mihandoost, Sima Rezvantalab, Roger M. Pallares, Volkmar Schulz, Fabian M. Kiessling
20citations -
Only strict saddles in the energy landscape of predictive coding networks? *2025 Journal of Statistical Mechanics Theory and Experiment article Computer Science Stochastic Gradient Optimization Techniques Open access
Francesco Innocenti, El Mehdi Achour, Ryan R. Singh, Christopher L. Buckley
1citations -
Can energy system modeling benefit from artificial neural networks? Application of two-stage metamodels to reduce computation of security of supply assessments2020 Computers & Industrial Engineering article Decision Sciences Probabilistic and Robust Engineering Design Open access
Lars Nolting, Thomas F. Spiegel, Marius Reich, Mario Adam, Aaron Praktiknjo
18citations -
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms2024 SIAM Journal on Scientific Computing article Physics and Astronomy Model Reduction and Neural Networks
Danimir T. Doncevic, Alexander Mitsos, Y. P. Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, +1 more
9citations -
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks2026 Advanced Intelligent Systems article Engineering Advanced Memory and Neural Computing Open access
Chirag Sudarshan, Oliver Artner, Paul-Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, +1 more
3citations -
Quasi-Steady-State and Singular Perturbation Reduction for Reaction Networks with Noninteracting Species2022 SIAM Journal on Applied Dynamical Systems article Computer Science Nonlinear Dynamics and Pattern Formation Open access
Elisenda Feliu, Christian Lax, Sebastian Walcher, Carsten Wiuf
8citations -
Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates31citations