Aerni, Michael

1. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
   2025/09/17 by Project Apertus, Alejandro Hernández-Cano, Apertus, Project +203 · 4 voices · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
2. Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
   2024/11/15 by Michael Aerni, Javier Rando, Aerni, Michael +9 · 2 voices · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
3. Interpolation can hurt robust generalization even when there is no noise
   2021/08/05 by Konstantin Donhauser, Alexandru Ţifrea, Donhauser, Konstantin +7 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
4. Strong inductive biases provably prevent harmless interpolation
   2023/01/18 by Aerni, Michael, Milanta, Marco, Donhauser, Konstantin +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)