CoDeFeL. Control for Deep and Federated Learning
CoDeFeL. Control for Deep and Federated Learning ERC Advanced Grant 2022. Control for Deep and Federated Learning (CoDeFeL) Principal Investigator ...
Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning
Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning Project/grant agreement No.: FA8655-24-1-7027 Principal Investigators (PI): Prof ...
Control and numerical analysis of complex systems
Control and numerical analysis of complex systems Project/grant agreement No.: 57703041 Principal Investigators (PI): Prof. Enrique Zuazua Host Institution: Friedrich-Alexander-Universität ...
Control of multi-particle systems, mean-field limits, and applications to deep learning
Control of multi-particle systems, mean-field limits, and applications to deep learning (Steuerung von Mehrteilchensystemen, Mean-Field Limits und Anwendungen für Deep ...
CIN-PDE: Control, inversion and numerics for Partial Differential Equations
Control, inversion and numerics for Partial Differential Equations (CIN-PDE) Project Nº: M-0548 Affiliated Entities: Fudan University (FDU, Shanghai), Friedrich-Alexander-Universität Erlangen-Nürnberg ...
DTN ModConFlex. Modelling and control of flexible structures interacting with fluids
DTN MoDConFlex. Modelling and control of flexible structures interacting with fluids Project/grant No.: 101073558 Affiliated Entities: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Bergische ...
BaCaTeC. Control and Machine Learning
BaCaTeC. Control and Machine Learning Enrique Zuazua, Miroslav Krstic Supported by HighTech Research between Bavaria and California (BaCaTeC, Bayerisch-Kalifornische Hochschulzentrum) ...
Modeling, Robust Design and Control of Gas Networks
Doctoral School of Information and Biomedical Technologies Polish Academy of Sciences: Modeling, Robust Design and Control of Gas Networks Institutions: ...
Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks
Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks (Applications are welcome for the research internship positions for a Master thesis) ...
Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks
Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks DFG WA5144/1-1: Modellierung, Analysis und Steuerung degenerierter nichtlinearer hyperbolischer ...
BaCaTeC. Data-Based Optimization in Real Time for Dynamic Systems
BaCaTeC. Endowing Artificial Intelligence with Control-Theoretic Guarantees: Data-Based Optimization in Real Time for Dynamic Systems Supported by: HighTech Research between ...
SFB Transregio 154
SFB Transregio 154 Mathematical Modelling, Simulation and Optimization using the example of Gas Networks Project: TRR 154 - SFB Transregio ...
sherpa.ai | Technological transfer
sherpa.ai | Technological transfer Enrique Zuazua Duration: June 2021 - now Recommendation Systems and Machine Learning. || Go to the Projects ...
e-Learning
e-Learning Anja Bird, Andreas Räthe, Wigand Rathmann, Nicolai von Schroeders Supported by FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2019 - Higher Education ...
DFG-Priority Programme SPP 1679
DFG-Priority Programme SPP 1679 Dynamic simulation of interconnected solids processes. (2017 – 2019) Günter Leugering, Lukas Plug, Michele Spinola Supported ...
Chair for Dynamics, Control, Machine Learning and Numerics – AvH
Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (formerly Applied Analysis) Our Team Supported by ...