Backward Penalty Schemes for Monotone Inclusion Problems. - Sebastian Banert; Radu Ioan Bot (J. Optim. Theory Appl., 2015)

A general double-proximal gradient algorithm for d.c. programming. - Sebastian Banert; Radu Ioan Bot (Math. Program., 2019)

Data-Driven Nonsmooth Optimization. - Sebastian Banert; Axel Ringh; Jonas Adler; Johan Karlsson; Ozan Öktem (SIAM J. Optim., 2020)

Fixing and extending some recent results on the ADMM algorithm. - Sebastian Banert; Radu Ioan Bot; Ernö Robert Csetnek (Numer. Algorithms, 2021)

Circuit analysis using monotone+skew splitting. - Thomas Chaffey 001; Sebastian Banert; Pontus Giselsson; Richard Pates (Eur. J. Control, 2023)

Accelerated Forward-Backward Optimization Using Deep Learning. - Sebastian Banert; Jevgenija Rudzusika; Ozan Öktem; Jonas Adler (SIAM J. Optim., 2024)

Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence. - Martin Morin; Sebastian Banert; Pontus Giselsson (SIAM J. Optim., 2024)

Incorporating history and deviations in forward-backward splitting. - Hamed Sadeghi; Sebastian Banert; Pontus Giselsson (Numer. Algorithms, 2024)

Automated tight Lyapunov analysis for first-order methods. - Manu Upadhyaya; Sebastian Banert; Adrien B. Taylor; Pontus Giselsson (Math. Program., 2025)