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Generalization bounds for neural ODEs: A user-friendly guide
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Clustering in pure-attention hardmax transformers and its role in sentiment analysis
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Partially dissipative hyperbolic systems without Fourier analysis
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A Turnpike Result for Optimal Boundary Control Problems with the Transport Equation under Uncertainty
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PINNs Introductory Code for the Heat Equation
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Limits of the stabilization of a networked hyperbolic system with a circle
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Stability of hyperbolic systems with non-symmetric partial dissipation
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Neural ODEs for interpolation and transport: From tight to shallow
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The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
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Reinforcement learning as a new perspective into controlling physical systems
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Null controllability for population dynamics with age, size structuring and diffusion
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Breaking the symmetry with Robin boundary conditions
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Convolutional autoencoders for very low-dimensional parametrizations of nonlinear fluid flow
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Torsional Rigidity: Classical and new results
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Analysis of a local-nonlocal polymer chain model
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Federated Learning: Protect your data and privacy
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Breaking the curse of dimensionality with Barron spaces
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Stability results for the KdV equation with time-varying delay
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Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
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Gas networks at stationary states: Analysis, software and visualization
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Sheep Herding Game
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Lloyd’s Algorithm
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Using the support function for optimal shape design
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Uniform Turnpike Property
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The interplay of control and deep learning
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Nonlinear hyperbolic systems: Modeling, controllability and applications
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Kinetic theory of Bose Einstein Condensates
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pyGasControls library (simulation software)
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Hamilton-Jacobi Equations: Inverse Design
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Random Batch Methods for Linear-Quadratic Optimal Control Problems
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Augmented Lagragian preconditioners for incompressible flow
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Transition Layers in Elliptic Equations
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Randomized time-splitting in linear-quadratic optimal control
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Felix Klein: A Legacy of Innovation in Mathematics and Education
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Control of Advection-Diffusion Equations on Networks and Singular Limits
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Probabilistic Constrained Optimization on Flow Networks
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Perceptrons, Neural Networks and Dynamical Systems
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Deep Learning and Paradigms
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Opening the black box of Deep Learning
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pyGasControls Framework
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Model-based optimization of ripening processes with feedback modules
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Gas networks uncertainty and Probust constraints: model, distribution and optimization
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Q-learning for finite-dimensional problems
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The interplay of control and deep learning
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Neural networks and Machine Learning
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Stochastic Synchronization of Chaotic Neurons
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Nonlocal population balance equations and applications
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Inverse Design for Hamilton-Jacobi Equations
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Stochastic Neural Dynamics
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Controllability properties of fractional PDE
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Flows on Networks
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Stochastic optimization for simultaneous control
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Convexity and Starshapedness of feasible sets in Stationary Flow Networks
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Collective dynamics modelling, Control and Simulation
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Data-Driven COVID Modeling
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Non-local population balance equations
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