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Stefan Schoepf
Stefan Schoepf
其他姓名Stefan Schöpf
在 cam.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
J Foster*, S Schoepf*, A Brintrup
AAAI 2024 | *equal contribution, 2024
162024
An Information Theoretic Approach to Machine Unlearning
J Foster, K Fogarty, S Schoepf, C Öztireli, A Brintrup
arXiv preprint arXiv:2402.01401, 2024
3*2024
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
S Schoepf, J Foster, A Brintrup
arXiv preprint arXiv:2402.10098, 2024
22024
Loss-Free Machine Unlearning
J Foster*, S Schoepf*, A Brintrup
ICLR 2024 Tiny Paper | *equal contribution, 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
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach
L Xu, Y Proselkov, S Schoepf, D Minarsch, M Minaricova, A Brintrup
IFAC World Congress 2023 56 (2), 11076-11081, 2023
12023
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
Potion: Towards Poison Unlearning
S Schoepf, J Foster, A Brintrup
arXiv preprint arXiv:2406.09173, 2024
2024
Identifying contributors to manufacturing outcomes in a multi-echelon setting: a decentralised uncertainty quantification approach
S Schoepf, J Foster, A Brintrup
ECML PKDD 2023; AI4M: AI for Manufacturing Workshop, 2023
2023
Multi-Agent Digital Twinning for Collaborative Logistics: Framework and Implementation
L Xu, S Mak, S Schoepf, M Ostroumov, A Brintrup
Available at SSRN 4691072, 2023
2023
Data augmentation and synthetic data generation for low-frequency and sparse data problems
DSG The Alan Turing Institute Data Study Group
https://zenodo.org/record/8328245, 2023
2023
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