Articles by Dante Kalise

Collisionless and Decentralized Formation Control for Strings

31 March 2025 by Young-Pil Choi and others

Optimization and Control, Multiagent Systems

Time-optimal neural feedback control of nilpotent systems as a binary classification problem

21 March 2025 by Sara Bicego and others

Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks

12 February 2025 by Mario Sperl and others

Separable approximations of optimal value functions under a decaying sensitivity assumption

15 January 2025 by Mario Sperl and others

Computation and Control of Unstable Steady States for Mean Field Multiagent Systems

29 December 2024 by Sara Bicego and others

A polynomial approximation scheme for nonlinear model reduction by moment matching

17 December 2024 by Carlos Doebeli and others

A Total Variation Flow Scheme for Ergodic Mean Field Games

11 November 2024 by Dante Kalise and others

Fast and robust consensus-based optimization via optimal feedback control

5 November 2024 by Yuyang Huang and others

A multiscale Consensus-Based algorithm for multi-level optimization

12 July 2024 by Michael Herty and others at

Imperial College London

Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling

3 April 2024 by Giacomo Albi and others at

Imperial College London

Optimal actuator design based on shape calculus

4 March 2024 by Dante Kalise and others

Data/moment-driven approaches for fast predictive control of collective dynamics

23 February 2024 by Giacomo Albi and others

Multi-level Optimal Control with Neural Surrogate Models

12 February 2024 by Dante Kalise and others at

Imperial College London

Statistical Proper Orthogonal Decomposition for model reduction in feedback control

27 November 2023 by Sergey Dolgov and others at

University of Bath

Data-driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations

22 February 2023 by Sergey Dolgov and others

Numerical Analysis, Optimization and Control

Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs

19 July 2022 by Anastasia Borovykh and others

Supervised learning for kinetic consensus control

19 July 2022 by Giacomo Albi and others

Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control

19 July 2022 by Sergey Dolgov and others

Consensus based optimization via jump-diffusion stochastic differential equations

10 May 2022 by D. Kalise and others

Probability, Numerical Analysis

Controlling swarms towards flocks and mills

16 August 2021 by Jos{É} Carrillo and others at

LJLL

State-dependent Riccati equation feedback stabilization for nonlinear PDEs

14 June 2021 by Alessandro Alla and others

Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations

6 March 2021 by Giacomo Albi and others

Moment-Driven Predictive Control of Mean-Field Collective Dynamics

12 January 2021 by Giuseppe Albi and others

Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression

21 December 2020 by Behzad Azmi and others

Sparse and Switching Infinite Horizon Optimal Control with Mixed-Norm Penalizations

16 November 2020 by Dante Kalise and others

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic

18 October 2020 by Ritabrata Dutta and others

Applications, Physics and Society

Shape Optimization of Actuators over Banach Spaces for Nonlinear Systems

17 February 2020 by M. Sajjad Edalatzadeh and others

Optimization and Control, Analysis of PDEs

Tensor Decomposition for High-Dimensional Hamilton-Jacobi-Bellman Equations

8 October 2019 by Sergey Dolgov and others

Robust feedback control of nonlinear PDEs by numerical approximation of high-dimensional Hamilton-Jacobi-Isaacs equations

15 May 2019 by Dante Kalise and others