Fast Needleman-Wunsch scanning of sequence databanks on a massively parallel computer. - Erik Wallin; Christian Wettergren; Fredrik Hedman; Gunnar von Heijne (Comput. Appl. Biosci., 1993)

Busy City - On the Design of a Collaborative Learning Environment. - Erik Wallin (WebNet, 1999)

Reinforcement Learning Control of a Forestry Crane Manipulator. - Jennifer Andersson; Kenneth Bodin; Daniel M. Lindmark; Martin Servin; Erik Wallin (IROS, 2021)

Digital twins with distributed particle simulation for mine-to-mill material tracking. - Martin Servin; Folke Vesterlund; Erik Wallin (CoRR, 2021)

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (ICPR, 2022)

Learning multiobjective rough terrain traversability. - Martin Servin; Erik Wallin; Folke Vesterlund; Viktor Wiberg; Johan Holmgren; Henrik Persson (CoRR, 2022)

Control of Rough Terrain Vehicles Using Deep Reinforcement Learning. - Viktor Wiberg; Erik Wallin; Tomas Nordfjell; Martin Servin (IEEE Robotics Autom. Lett., 2022)

ProSub: Probabilistic Open-Set Semi-supervised Learning with Subspace-Based Out-of-Distribution Detection. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (ECCV (61), 2024)

Improving Open-Set Semi-Supervised Learning with Self-Supervision. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (WACV, 2024)

Synthesizing multi-log grasp poses. - Arvid Fälldin; Erik Wallin; Tommy Löfstedt; Martin Servin (CoRR, 2024)

Sim-to-real transfer of active suspension control using deep reinforcement learning. - Viktor Wiberg; Erik Wallin; Arvid Fälldin; Tobias Semberg; Morgan Rossander; Eddie Wadbro; Martin Servin (Robotics Auton. Syst., 2024)

Multi-Log Grasping Using Reinforcement Learning and Virtual Visual Servoing. - Erik Wallin; Viktor Wiberg; Martin Servin (Robotics, 2024)

Exploring Semi-Supervised Learning for Online Mapping. - Adam Lilja; Erik Wallin; Junsheng Fu; Lars Hammarstrand (CVPR Workshops, 2025)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks. - Erik Wallin; Fredrik Kahl; Lars Hammarstrand (CVPR, 2025)

A modular and extensible library for parameterized terrain generation. - Erik Wallin (CoRR, 2025)