Stefan Schoepf

According to our database, Stefan Schoepf authored at least 19 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 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, March, 2025

Random Walk Guided Hyperbolic Graph Distillation.

Yunbo Long, Liming Xu, Stefan Schoepf, Alexandra Brintrup

CoRR, January, 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

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

2024

Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

IEEE Trans. Ind. Informatics, December, 2024

Learning to Forget using Hypernetworks.

Jose Miguel Lara Rangel, Stefan Schoepf, Jack Foster, David Krueger, Usman Anwar

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

ConDa: Fast Federated Unlearning with Contribution Dampening.

Vikram S. Chundawat, Pushkar Niroula, Prasanna Dhungana, Stefan Schoepf, Murari Mandal, 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, Kush R. Varshney

CoRR, 2024

Potion: Towards Poison Unlearning.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2024

Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2024

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization.

Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup

CoRR, 2024

Loss-Free Machine Unlearning.

Jack Foster, Stefan Schoepf, Alexandra Brintrup

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening.

Jack Foster, Stefan Schoepf, Alexandra Brintrup

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction.

Liming Xu, Stephen Mak, Stefan Schoepf, Michael Ostroumov, 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

Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2023

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