Stebėti
Stefan Schoepf
Pavadinimas
Cituota
Cituota
Metai
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
J Foster*, S Schoepf*, A Brintrup
AAAI 2024 | *equal contribution, 2024
812024
Potion: Towards Poison Unlearning
S Schoepf, J Foster, A Brintrup
Journal of Data-Centric Machine Learning Research (DMLR), 2024
92024
Machine unlearning in supply chains
S Schoepf, J Foster, A Brintrup
IFAC Conference on Manufacturing Modelling, Management and Control (IFAC …, 2025
7*2025
An Information Theoretic Approach to Machine Unlearning
J Foster, K Fogarty, S Schoepf, C Öztireli, A Brintrup
arXiv preprint arXiv:2402.01401, 2024
7*2024
Loss-Free Machine Unlearning
J Foster*, S Schoepf*, A Brintrup
ICLR 2024 Tiny Paper | *equal contribution, 2024
62024
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI
A Rawat, S Schoepf, G Zizzo, G Cornacchia, MZ Hameed, K Fraser, ...
Red Teaming GenAI Workshop @ NeurIPS'24, 2024
32024
Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach
S Schoepf, J Foster, A Brintrup
IEEE Transactions on Industrial Informatics, 2024
22024
Learning to Forget using Hypernetworks
JML Rangel, S Schoepf, J Foster, D Krueger, U Anwar
NeurIPS 2024, The Third Workshop on New Frontiers in Adversarial Machine …, 2024
12024
ConDa: Fast Federated Unlearning with Contribution Dampening
VS Chundawat, P Niroula, P Dhungana, S Schoepf, M Mandal, A Brintrup
https://arxiv.org/pdf/2410.04144, 2024
12024
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
S Schoepf, S Mak, J Senoner, L Xu, T Netland, A Brintrup
IJCAI 2023; Workshop on Search and Planning with Complex Objectives (WoSePCO), 2023
1*2023
NVH Signal Analysis via Pattern Recognition ANNs: Automotive Brake Creep Groan as Case Study
M Pürscher, S Schoepf, P Fischer
8th Congress of the Alps Adria Acoustic Association (AAAA), 294-308, 2018
12018
Random Walk Guided Hyperbolic Graph Distillation
Y Long, L Xu, S Schoepf, A Brintrup
https://arxiv.org/abs/2501.15696, 2025
2025
Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking
V Jannelli, S Schoepf, M Bickel, T Netland, A Brintrup
arXiv preprint arXiv:2411.10184, 2024
2024
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