Numerical approximation of the LQR problem in a strongly damped wave equation. - Erwin Hernández; Dante Kalise; Enrique Otárola (Comput. Optim. Appl., 2010)

High-order finite volume schemes for layered atmospheric models - Dante Kalise; Ivar Lie; Eleuterio F. Toro (CoRR, 2011)

A study of a WENO-TVD finite volume scheme for the numerical simulation of atmospheric advective and convective phenomena - Dante Kalise (CoRR, 2011)

Modelling and numerical approximation of a 2.5D set of equations for mesoscale atmospheric processes - Dante Kalise; Ivar Lie (CoRR, 2011)

A locking-free scheme for the LQR control of a Timoshenko beam. - Erwin Hernández; Dante Kalise; Enrique Otárola (J. Comput. Appl. Math., 2011)

Modeling and numerical approximation of a 2.5D set of equations for mesoscale atmospheric processes. - Dante Kalise; Ivar Lie (J. Comput. Phys., 2012)

An Accelerated Value/Policy Iteration Scheme for Optimal Control Problems and Games. - Alessandro Alla; Maurizio Falcone; Dante Kalise (ENUMATH, 2013)

A High-Order Semi-Lagrangian/Finite Volume Scheme for Hamilton-Jacobi-Isaacs Equations. - Maurizio Falcone; Dante Kalise (System Modelling and Optimization, 2013)

Cascade-Free Predictive Speed Control for Electrical Drives. - Esteban J. Fuentes; Dante Kalise; José R. Rodríguez; Ralph M. Kennel (IEEE Trans. Ind. Electron., 2014)

An Efficient Policy Iteration Algorithm for Dynamic Programming Equations. - Alessandro Alla; Maurizio Falcone; Dante Kalise (SIAM J. Sci. Comput., 2015)

Invisible Control of Self-Organizing Agents Leaving Unknown Environments. - Giacomo Albi; Mattia Bongini; Emiliano Cristiani; Dante Kalise (SIAM J. Appl. Math., 2016)

Local Minimization Algorithms for Dynamic Programming Equations. - Dante Kalise; Axel Kröner; Karl Kunisch (SIAM J. Sci. Comput., 2016)

Smoothened Quasi-Time-Optimal Control for the Torsional Torque in a Two-Mass System. - Esteban J. Fuentes; Dante Kalise; Ralph M. Kennel (IEEE Trans. Ind. Electron., 2016)

Infinite Horizon Sparse Optimal Control. - Dante Kalise; Karl Kunisch; Zhiping Rao (J. Optim. Theory Appl., 2017)

Suboptimal nonlinear feedback control laws for collective dynamics. - Michael Herty; Dante Kalise (ICCA, 2018)

Sparse and Switching Infinite Horizon Optimal Control with Nonconvex Penalizations. - Dante Kalise; Karl Kunisch; Zhiping Rao (CoRR, 2018)

Proximal Methods for Stationary Mean Field Games with Local Couplings. - Luis M. Briceño-Arias; Dante Kalise; Francisco J. Silva (SIAM J. Control. Optim., 2018)

Polynomial Approximation of High-Dimensional Hamilton-Jacobi-Bellman Equations and Applications to Feedback Control of Semilinear Parabolic PDEs. - Dante Kalise; Karl Kunisch (SIAM J. Sci. Comput., 2018)

A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations. - Sergey Dolgov; Dante Kalise; Karl Kunisch (CoRR, 2019)

A Collisionless Singular Cucker-Smale Model with Decentralized Formation Control. - Young-Pil Choi; Dante Kalise; Jan Peszek; Andrés A. Peters (SIAM J. Appl. Dyn. Syst., 2019)

Robust Feedback Control of Nonlinear PDEs by Numerical Approximation of High-Dimensional Hamilton-Jacobi-Isaacs Equations. - Dante Kalise; Sudeep Kundu; Karl Kunisch (SIAM J. Appl. Dyn. Syst., 2020)

Collisionless and Decentralized Formation Control for Strings. - Young-Pil Choi; Dante Kalise; Andrés A. Peters (CoRR, 2021)

Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression. - Behzad Azmi; Dante Kalise; Karl Kunisch (J. Mach. Learn. Res., 2021)

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic. - Ritabrata Dutta; Susana N. Gomes; Dante Kalise; Lorenzo Pacchiardi (PLoS Comput. Biol., 2021)

Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations. - Sergey Dolgov; Dante Kalise; Karl Kunisch (SIAM J. Sci. Comput., 2021)

Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control. - Sergey Dolgov; Dante Kalise; Luca Saluzzi (CoRR, 2022)

Consensus based optimization via jump-diffusion stochastic differential equations. - Dante Kalise; Akash Sharma; Michael V. Tretyakov (CoRR, 2022)

Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-Dependent Riccati Equations. - Giacomo Albi; Sara Bicego; Dante Kalise (IEEE Control. Syst. Lett., 2022)

Optimal Actuator Design for the Euler-Bernoulli Vibration Model Based on LQR Performance and Shape Calculus. - Mohammad Sajjad Edalatzadeh; Dante Kalise; Kirsten A. Morris; Kevin Sturm (IEEE Control. Syst. Lett., 2022)

Moment-Driven Predictive Control of Mean-Field Collective Dynamics. - Giacomo Albi; Michael Herty; Dante Kalise; Chiara Segala (SIAM J. Control. Optim., 2022)

Controlling Swarms toward Flocks and Mills. - José A. Carrillo 001; Dante Kalise; Francesco Rossi; Emmanuel Trélat (SIAM J. Control. Optim., 2022)

Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption. - Mario Sperl; Luca Saluzzi; Lars Grüne; Dante Kalise (CDC, 2023)

Statistical Proper Orthogonal Decomposition for model reduction in feedback control. - Sergey Dolgov; Dante Kalise; Luca Saluzzi (CoRR, 2023)

State-dependent Riccati equation feedback stabilization for nonlinear PDEs. - Alessandro Alla; Dante Kalise; Valeria Simoncini (Adv. Comput. Math., 2023)

Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. - Sergey Dolgov; Dante Kalise; Luca Saluzzi (SIAM J. Sci. Comput., 2023)

Multi-level Optimal Control with Neural Surrogate Models. - Dante Kalise; Estefanía Loayza-Romero; Kirsten A. Morris; Zhengang Zhong (CoRR, 2024)

Data/moment-driven approaches for fast predictive control of collective dynamics. - Giacomo Albi; Sara Bicego; Michael Herty; Yuyang Huang; Dante Kalise; Chiara Segala (CoRR, 2024)

Computation and Control of Unstable Steady States for Mean Field Multiagent Systems. - Sara Bicego; Dante Kalise; Grigorios A. Pavliotis (CoRR, 2024)

A polynomial approximation scheme for nonlinear model reduction by moment matching. - Carlos Doebeli; Alessandro Astolfi; Dante Kalise; Alessio Moreschini; Giordano Scarciotti; Joel D. Simard (CoRR, 2024)

A Spectral Approach to Optimal Control of the Fokker-Planck Equation. - Dante Kalise; Lucas M. Moschen; Grigorios A. Pavliotis; Urbain Vaes (IEEE Control. Syst. Lett., 2025)

Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling. - Giacomo Albi; Sara Bicego; Dante Kalise (J. Comput. Phys., 2025)

Time-optimal neural feedback control of nilpotent systems as a binary classification problem. - Sara Bicego; Samuel Gue; Dante Kalise; Nelly Villamizar (CoRR, 2025)

Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games. - Heidi Wolles Ljósheim; Dante Kalise; John W. Pearson; Francisco J. Silva (CoRR, 2025)

Linearization-Based Feedback Stabilization of McKean-Vlasov PDEs. - Dante Kalise; Lucas M. Moschen; Grigorios A. Pavliotis (CoRR, 2025)

Hierarchical clustering and dimensional reduction for optimal control of large-scale agent-based models. - Angela Monti; Fasma Diele; Dante Kalise (CoRR, 2025)