For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

Detecting patterns is an important part of how humans learn and make decisions. Now, researchers have seen what is happening in people's brains as they first find patterns in information they are ...

We develop novel methods to make Bayesian inference more efficient, scalable, and practical. This includes work on variational methods, Monte Carlo algorithms, and techniques for handling complex ...

With both location and shape of stimuli varied simultaneously on independent binary probability schedules, the prediction distributions of subjects who had a 70%-30% schedule on each dimension ...

Mind wandering is an intriguing phenomenon; the average person spends up to 50% of their waking hours in this semi-dreamlike state. While it is notorious for undermining performance on tasks requiring ...

Learning abstract concepts like probability can often be challenging without practical examples. For many, it becomes easier to grasp when these ideas are connected to real-life experiences or ...