Deep Learning and Paradigms By Sergi Andreu // This post is the 2nd. part of the “Opening the black box of Deep Learning” post Deep Learning Now that we have some intuition about the data, it’s time to focus on how to approximate the functions that would fit that data. […]
Daily Archives: March 1, 2021
20 posts
• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg The sheep herding game: Can you beat the algorithm? View this poster
• Martin Gugat, Friedrich-Alexander-Universität Erlangen–Nürnberg • Rüdiger Schultz, Universität Duisburg-Essen • Michael Schuster, Friedrich-Alexander-Universität Erlangen–Nürnberg Nodal control and the Turnpike phenomenon View this poster
• Dongnam Ko, Catholic University of Korea • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Model predictive control with random batch methods for a guiding problem View this poster
• Umberto Biccari, University of Deusto | DeustoCCM • Yongcun Song, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yuan Xiaoming, The University of Hong Kong • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Sparse Initial Source Identification for a Diffusion – Advection Equation View this poster
• Umberto Biccari, University of Deusto | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Non-local PDE and Control View this poster
• Dario Pighin, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Long Time Control View this poster
• Yue Wang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Günter Leugering, Friedrich-Alexander-Universität Erlangen–Nürnberg • Charlotte Rodríguez, Friedrich-Alexander-Universität Erlangen–Nürnberg • Tatsien Li, Fudan University • Gastón Vergara-Hermosilla, Université de Bordeaux Boundary Controllability of Nodal Profile for Hyperbolic Systems View this poster
• Charlotte Rodríguez, Friedrich-Alexander-Universität Erlangen–Nürnberg • Günter Leugering, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yue Wang, Friedrich-Alexander-Universität Erlangen–Nürnberg Control and Stabilization of Geometrically Exact Beams C View this poster
• Carlos Esteve, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Inverse Design for Conservation Laws and Hamilton-Jacobi Equations View this poster
• Borjan Geshkovski, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Machine learning via control of Neural ODEs View this poster
• Tobias Wöhrer, Friedrich-Alexander-Universität Erlangen–Nürnberg • Anton Arnold, TU Vienna • Shi Jin, Shanghai Jiao Tong University Sharp Estimates in Defective Evolution Equations: From ODEs to Kinetic Equations with Uncertainties View this poster
• Marius Yamakou, Friedrich-Alexander-Universität Erlangen–Nürnberg The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor View this poster
• Hannes Meinlschmidt, Friedrich-Alexander-Universität Erlangen–Nürnberg • Joachim Rehber, Weierstrass Institute Parabolic Problems Arising in Real-World Applications View this poster
• Giuseppe Maria Coclite, Polytechnic University of Bari • Jean-Michel Coron, Université Pierre et Marie Curie • Nicola De Nitti, Friedrich-Alexander-Universität Erlangen–Nürnberg • Alexander Keimer, Institute of Transportation Studies UC Berkeley • Lukas Pflug, Friedrich-Alexander-Universität Erlangen–Nürnberg The Singular Limit of Nonlocal Conservation Laws to Local Conservation Laws View this poster
• Christophe Zhang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg System Identification by Koopman Operators: Quantitative Analysis View this poster
• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Stochastic Simulation and Optimization for Dynamical Systems View this poster
• Martin Gugat, Friedrich-Alexander-Universität Erlangen–Nürnberg • Jan Giesselmann, Technische Universität Darmstadt • Teresa Kunkel, Technische Universität Darmstadt • Sven Weiland, Friedrich-Alexander-Universität Erlangen–Nürnberg Observer-based Data Assimilation in Time-dependent Flows in Gas Networks View this poster
• Alexei Gazca, Friedrich-Alexander-Universität Erlangen–Nürnberg Semismooth Newton Method for Viscoplastic Flow View this poster
• Alexander Keimer, UC Berkeley • Günter Leugering, Friedrich-Alexander-Universität Erlangen – Nürnberg • Lukas Pflug, Friedrich-Alexander-Universität Erlangen – Nürnberg • Doris Segets, University of Duisburg-Essen • Michele Spinola, Friedrich-Alexander-Universität Erlangen – Nürnberg Nonlocal Conservation Laws (NLCL) – Modeling, Simulation and Optimal Control View this poster