Large language models lie at the center of recent advances in artificial intelligence.

Can we use machine learning to compress graph data?

Inefficient decisions in repeated games can stem from both strategic and learning considerations. First, strategic agents selfishly maximize their own individual reward at others' expense.

Video recognition is an important problem with many potential applications.

GANs trained by a two time-scale update rule converge to a local Nash equilibrium.