Yan Scholten

1. A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
   2024/10/04 by Yan Scholten, Stephan Günnemann, Scholten, Yan +3 · 10 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
2. Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
   2023/12/05 by Jan Schuchardt, Schuchardt, Jan, Yan Scholten +3 · 1 citation
   Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
3. Adversarial Alignment for LLMs Requires Simpler, Reproducible, and More Measurable Objectives
   2025/02/17 by Leo Schwinn, Schwinn, Leo, Yan Scholten +11 · 4 citations
   Computer Science · Social Sciences · #Artificial Intelligence in Law #Digital Rights Management and Security #FOS: Computer and information sciences #Library Science and Information Systems #Machine Learning (cs.LG)
4. Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
   2024/10/13 by Yan Scholten, Stephan Günnemann, Scholten, Yan +1 · 1 citation
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
5. Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
   2025/07/06 by Yan Scholten, Scholten, Yan, Sophie Xhonneux +5 · 2 citations
   Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods