Applying Probabilistic Programming to Affective Computing

Head to https://desmond-ong.github.io/pplAffComp/ for a formatted (and updated) landing page.

This code repository contains example code to accompany "Applying Probabilistic Programming to Affective Computing" by Desmond C. Ong, Harold Soh, Jamil Zaki, and Noah D. Goodman (submitted).

• Getting Started
• Introduction to Probabilistic Programming
  • Intro to Pyro Part 1 and Part 2.
  • Intro to Variational Inference
• Rational Speech Acts examples:
  • Implicature
  • Hyperbole

Affective Computing relevant examples:

• Example 1: Linear Regression as a model of Appraisal.
• Example 2: Variational Autoencoder to generate emotional faces
• Example 3: Semi-supervised VAE to learn to recognize emotions from faces
• Example 4: Multimodal VAE to model latent affect (Under construction! Will be up soon)

Links

• Pyro Github
• Pyro Tutorials
• WebPPL: a probabilistic programming language written in Javascript
• Probabilistic Models of Cognition: a webbook on applying probabilistic modeling to human cognition