February 20, 2015 preprint Open access Automatic differentiation in machine learning: a survey arXiv (Cornell University) DOI: 10.4230/lipics.ecoop.2019.25 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 8 stored of 839 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access dCG—differentiable connected geometries for AI-compatible multi-domain optimization and inverse design 2025 Machine Learning Science and Technology article Engineering Topology Optimization in Engineering Open access 0 citations Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains 2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 98 citations Effects of variational formulations on physics‐informed neural network performance in solid mechanics 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 8 citations Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 31 citations Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis 2022 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks 30 citations Bayesian calibration, process modeling and uncertainty quantification in biotechnology 2022 PLoS Computational Biology article Decision Sciences Optimal Experimental Design Methods Open access cited by 1 patent 34 citations Bayesian calibration, process modeling and uncertainty quantification in biotechnology 2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access 4 citations Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective 2021 GAMM-Mitteilungen article Computer Science Reinforcement Learning in Robotics Open access 25 citations 8 results References 0