A Regularized Dean-Kawasaki Model: Derivation and Analysis. - Federico Cornalba; Tony Shardlow; Johannes Zimmer (SIAM J. Math. Anal., 2019)

The Dean-Kawasaki equation and the structure of density fluctuations in systems of diffusing particles. - Federico Cornalba; Julian Fischer (CoRR, 2021)

Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for selected applications in stock and cryptocurrency trading. - Federico Cornalba; Constantin Disselkamp; Davide Scassola; Christopher Helf (CoRR, 2022)

The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime. - Federico Cornalba; Tony Shardlow (CoRR, 2022)

Density fluctuations in weakly interacting particle systems via the Dean-Kawasaki equation. - Federico Cornalba; Julian Fischer; Jonas Ingmanns; Claudia Raithel (CoRR, 2023)

On reduced inertial PDE models for Cucker-Smale flocking dynamics. - Sebastian Zimper; Federico Cornalba; Natasa Djurdjevac Conrad; Ana Djurdjevac (CoRR, 2024)

Hadamard Langevin dynamics for sampling sparse priors. - Ivan Cheltsov; Federico Cornalba; Clarice Poon; Tony Shardlow (CoRR, 2024)

Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. - Federico Cornalba; Constantin Disselkamp; Davide Scassola; Christopher Helf (Neural Comput. Appl., 2024)

Multilevel Monte Carlo Methods for the Dean-Kawasaki Equation from Fluctuating Hydrodynamics. - Federico Cornalba; Julian Fischer (SIAM J. Numer. Anal., 2025)