Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
Type
Publication
Sixth Symposium on Advances in Approximate Bayesian Inference
Emre Onal
Visitor from Princeton
I am interested in leveraging statistics and machine learning to improve and automate complex large-scale decision making processes; I am particularly interested in researching and using large language models in real world contexts.
Emma Caldwell
PhD student at TUM
I work on making machine learning models more robust and interpretable through (better) uncertainty estimates.
Arsen Sheverdin
PhD student at TUM
I am a PhD student, and I study and investiage probabilistic modeling, approximate inference, and deep learning.
Vincent Fortuin
Head of the ELPIS lab
My research interests include Bayesian deep learning, generative AI, and meta-learning.