Lisa Wimmer

Machine Learning (5) Artificial Intelligence (3) Optimization & Theory (3) Deep Learning (2) Architectures (2) Bayesian & Probabilistic · Artificial Intelligence (2) Learning Types (2) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Core Methods (1)

uncertainty quantification (3) neural network (2) aleatoric uncertainty (2) bayesian inference (2) epistemic uncertainty (2) conditional entropy (1) mutual information (1) model averaging (1) probabilistic model (1) bayesian neural network (1) dimensional collapse (1) deep ensemble (1) scoring rule (1) sampling problem (1) label-wise decomposition (1) cost-sensitive decision making (1) representation learning (1) over-parameterization (1) self-supervised learning (1) knowledge distillation (1)