Liner shipping network design. - Marielle Christiansen; Erik Orm Hellsten; David Pisinger; David Sacramento; Charlotte Vilhelmsen (Eur. J. Oper. Res., 2020)

An adaptive large neighbourhood search heuristic for routing and scheduling feeder vessels in multi-terminal ports. - Erik Orm Hellsten; David Sacramento; David Pisinger (Eur. J. Oper. Res., 2020)

The transit time constrained fixed charge multi-commodity network design problem. - Erik Orm Hellsten; David Franz Koza; Iván A. Contreras; Jean-François Cordeau; David Pisinger (Comput. Oper. Res., 2021)

A branch-and-price algorithm for solving the single-hub feeder network design problem. - Erik Orm Hellsten; David Sacramento; David Pisinger (Eur. J. Oper. Res., 2022)

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. - Erik Orm Hellsten; Artur L. F. Souza; Johannes Lenfers; Rubens Lacouture; Olivia Hsu; Adel Ejjeh; Fredrik Kjolstad; Michel Steuwer; Kunle Olukotun; Luigi Nardi (ASPLOS (4), 2023)

Self-Correcting Bayesian Optimization through Bayesian Active Learning. - Carl Hvarfner; Erik Hellsten; Frank Hutter; Luigi Nardi (NeurIPS, 2023)

High-dimensional Bayesian Optimization with Group Testing. - Erik Orm Hellsten; Carl Hvarfner; Leonard Papenmeier; Luigi Nardi (CoRR, 2023)

Vanilla Bayesian Optimization Performs Great in High Dimensions. - Carl Hvarfner; Erik Orm Hellsten; Luigi Nardi (ICML, 2024)

BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks. - Jonathan Styrud; Matthias Mayr; Erik Hellsten; Volker Krüger; Christian Smith (ICRA, 2024)

Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing. - Erik Hellsten; Carl Hvarfner; Leonard Papenmeier; Luigi Nardi (CoRR, 2025)