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CV at a glance

  • 2nd year PhD candidate at Univ. of Cambridge focusing on Machine Unlearning
  • Currently interning at IBM Research in the AI Security and Privacy team
  • Prev. associate at BCG and co-founder of an ESA BIC funded deep tech startup

Full CV: LinkedIn

Recent Publications (non-exhaustive)

Machine Unlearning

Visual Title Authorship Venue
poison_wide Potion: Towards Poison Unlearning First Preprint
image Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening Equal Contrib. AAAI 2024
image Loss-Free Machine Unlearning Equal Contrib. ICLR 2024 Tiny Paper
image Parameter-Tuning-Free Data Entry Error Unlearning with Adaptive Selective Synaptic Dampening First Preprint
image Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization 3rd Preprint

Approx. Bayesian Ensembling & Transformers for combinatorial optimization

Visual Title Authorship Venue
Screenshot 2024-08-16 at 14 56 29 Identifying contributors to manufacturing outcomes in a multi-echelon setting: a decentralised uncertainty quantification approach First IEEE Transactions on Industrial Informatics
packing Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem First IJCAI 2023 Workshop

Full Google Scholar publication list: Google Scholar

A tiny thing I made to make Google Scholar better:

Visual Link
scholar Author highlighter

Stefan Schoepf's Projects

3l-cvrp icon 3l-cvrp

IJCAI 2023 WOSEPCO: RL for the Three-Dimensional Loading Capacitated Vehicle Routing Problem

data-science-karaoke icon data-science-karaoke

Teambuilding game for DS teams (takes ca. 1h for 4 presentations with 2-4 people per group)

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