Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions. - Victor Boussange; Sebastian Becker; Arnulf Jentzen; Benno Kuckuck; Loïc Pellissier (CoRR, 2022)

Differentiable Programming for Differential Equations: A Review. - Facundo Sapienza; Jordi Bolibar; Frank Schäfer; Brian Groenke; Avik Pal; Victor Boussange; Patrick Heimbach; Giles Hooker; Fernando Pérez; Per-Olof Persson; Christopher Rackauckas (CoRR, 2024)

Temporal horizons in forecasting: a performance-learnability trade-off. - Pau Vilimelis Aceituno; Jack William Miller; Noah Marti; Youssef Farag; Victor Boussange (CoRR, 2025)

Deep learning-based species-area models reveal multi-scale patterns of species richness and turnover. - Victor Boussange; Philipp Brun; Johanna T. Malle; Gabriele Midolo; Jeanne Portier; Théophile Sanchez; Niklaus E. Zimmermann; Irena Axmanová; Helge Bruelheide; Milan Chytrý; Stephan Kambach; Zdenka Lososová; et al. (CoRR, 2025)