Artificial Intelligence

December 2, 2024

Posit AI Blog: Getting into the flow: Bijectors in TensorFlow Probability

January 3, 2024

As of today, deep learning’s greatest successes have taken place in the realm of supervised learning, requiring lots and lots of annotated training...

Tuning-free deep learning from R

January 3, 2024

Today, we’re happy to feature a guest post written by Juan Cruz, showing how to use Auto-Keras from R. Juan holds a master’s...

Experimenting with autoregressive flows in TensorFlow Probability

January 3, 2024

In the first part of this mini-series on autoregressive flow models, we looked at bijectors in TensorFlow Probability (TFP), and saw how to...

The creative future of generative AI | MIT News

January 2, 2024

Few...

Hierarchical partial pooling with tfprobability

January 2, 2024

Before we jump into the technicalities: This post is, of course, dedicated to McElreath who wrote one of most intriguing books on Bayesian...

The Download: solving the mystery of hunger, and the climate-tech boom

January 2, 2024

When you’re starving, hunger is like a demon. It awakens the most ancient and primitive parts of the brain, then commandeers other...

Varying slopes models with TensorFlow Probability

January 2, 2024

In a previous post, we showed how to use tfprobability – the R interface to TensorFlow Probability – to build a multilevel, or...

We’ve never understood how hunger works. That might be about to change.

January 2, 2024

“Sure, we managed to have the brain say ‘Go eat,’” he says. “But that’s not really an explanation. How does that actually...

Adding uncertainty estimates to Keras models with tfprobability

January 2, 2024

About six months ago, we showed how to create a custom wrapper to obtain uncertainty estimates from a Keras network. Today we present...

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Artificial Intelligence

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