2 papers
stat.ML2025
Position: There Is No Free Bayesian Uncertainty Quantification
Ivan Melev, Goeran Kauermann
Due to their intuitive appeal, Bayesian methods of modeling and uncertainty quantification have become popular in modern machine and deep learning. When providing a prior distribut…
cs.LG2025
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Léo Meynent, Ivan Melev, Konstantin Schürholt +2
The weights of neural networks (NNs) have recently gained prominence as a new data modality in machine learning, with applications ranging from accuracy and hyperparameter predicti…