Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem. - Stefan Schoepf; Stephen Mak; Julian Senoner; Liming Xu; Torbjørn H. Netland; Alexandra Brintrup (CoRR, 2023)

Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach. - Stefan Schoepf; Jack Foster; Alexandra Brintrup (CoRR, 2023)

Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach. - Liming Xu; Yaniv Proselkov; Stefan Schoepf; David Minarsch; Maria Minaricova; Alexandra Brintrup (CoRR, 2023)

AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction. - Liming Xu; Stephen Mak; Stefan Schoepf; Michael Ostroumov; Alexandra Brintrup (CoRR, 2023)

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening. - Jack Foster; Stefan Schoepf; Alexandra Brintrup (AAAI, 2024)

Loss-Free Machine Unlearning. - Jack Foster; Stefan Schoepf; Alexandra Brintrup (Tiny Papers @ ICLR, 2024)

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. - Jack Foster; Kyle Fogarty; Stefan Schoepf; Cengiz Öztireli; Alexandra Brintrup (CoRR, 2024)

Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening. - Stefan Schoepf; Jack Foster; Alexandra Brintrup (CoRR, 2024)

Potion: Towards Poison Unlearning. - Stefan Schoepf; Jack Foster; Alexandra Brintrup (CoRR, 2024)

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. - Ambrish Rawat; Stefan Schoepf; Giulio Zizzo; Giandomenico Cornacchia; Muhammad Zaid Hameed; Kieran Fraser; Erik Miehling; Beat Buesser; Elizabeth M. Daly; Mark Purcell; Prasanna Sattigeri; Pin-Yu Chen; et al. (CoRR, 2024)

ConDa: Fast Federated Unlearning with Contribution Dampening. - Vikram S. Chundawat; Pushkar Niroula; Prasanna Dhungana; Stefan Schoepf; Murari Mandal; Alexandra Brintrup (CoRR, 2024)

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking. - Valeria Jannelli; Stefan Schoepf; Matthias Bickel; Torbjørn H. Netland; Alexandra Brintrup (CoRR, 2024)

Learning to Forget using Hypernetworks. - Jose Miguel Lara Rangel; Stefan Schoepf; Jack Foster; David Krueger 001; Usman Anwar (CoRR, 2024)

Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach. - Stefan Schoepf; Jack Foster; Alexandra Brintrup (IEEE Trans. Ind. Informatics, 2024)

Multi-agent digital twinning for collaborative logistics: Framework and implementation. - Liming Xu; Stephen Mak; Stefan Schoepf; Michael Ostroumov; Alexandra Brintrup (J. Ind. Inf. Integr., 2025)

An Information Theoretic Approach to Machine Unlearning. - Jack Foster; Kyle Fogarty; Stefan Schoepf; Zack Dugue; Cengiz Öztireli; Alexandra Brintrup (Trans. Mach. Learn. Res., 2025)

Random Walk Guided Hyperbolic Graph Distillation. - Yunbo Long; Liming Xu; Stefan Schoepf; Alexandra Brintrup (CoRR, 2025)

MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming. - Stefan Schoepf; Muhammad Zaid Hameed; Ambrish Rawat; Kieran Fraser; Giulio Zizzo; Giandomenico Cornacchia; Mark Purcell (CoRR, 2025)

Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data. - Stefan Schoepf; Michael Curtis Mozer; Nicole Mitchell; Alexandra Brintrup; Georgios Kaissis; Peter Kairouz; Eleni Triantafillou (CoRR, 2025)