1 citations · 3 across the 10 of their papers we have counts for
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Predictive-Context LOO: Bayesian Model Comparison with Pretrained Predictive Learners
Hans Montcho, Maurizio Filippone
Leave-one-out (LOO) cross-validation, a standard tool for Bayesian model assessment, evaluates each observation using a LOO predictive distribution derived from the model itself. I…
Sparsifying Stochasticity, Not Capacity: Partial Stochasticity via Deep Weight Factorization of Prior Scales
Marius P Linhard, Maurizio Filippone
Bayesian neural networks need not be fully stochastic to be universal conditional density approximators, but it remains open which parameters should be stochastic. We learn this sp…
DIPHINE: Diffusion-based -ID Neural Estimator
Simon Pedro Galeano Munoz, Mustapha Bounoua, Giulio Franzese +2
Uncovering the true informational architecture of real-world complex systems requires disentangling how their components uniquely store, redundantly share, and synergistically inte…