In recent years, concept-based approaches have emerged as some of the most promising explainability methods to help us interpret the decisions of Artificial Neural Networks (ANNs).

W e explore prediction as an alternative to learning.

Gaussian mixtures are a popular model in high-dimensional statistics since, besides being an universal approximator, they often lead to mathematically tractable problems.

We study the problem of exploration in Reinforcement Learning and present a novel model-free solution. We adopt an information-theoretical viewpoint and start from the instance-specific lower bound ofthe number ofsamples that have to be collected to identify a nearly-optimal policy.

We study the problem of exploration in Reinforcement Learning and present a novel model-free solution. We adopt an information-theoretical viewpoint and start from the instance-specific lower bound of the number of samples that have to be collected to identify a nearly-optimal policy.

Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Ukrainian officials have left for Geneva, Switzerland, where another round of negotiations aimed at ending the war with Russia is set to take place. The next round of negotiations is ahead.

Our approach employs a sequence of visual resamplers that capture visual details at various spacial scales.

A woman wearing a loose-fitting white blouse with ruffled sleeves, paired with high-waisted, wide-leg navy blue pants and black ankle-strap stiletto heels.