Culinary choices
Being Bayesian with restaurant reviews
PhD student in Theoretical Neuroscience
How do the numerous components of neural circuits reliably implement complex function?
I am approaching this question by developing models that capture simple aspects of cognition, but are still easy to understand. I believe that bridging perspectives from both artificial and biological intelligence brings great synergies, as both of these fields fundamentally have the shared goal of understanding neural systems.
Essays, notes, and experiments across neuroscience, machine learning, and the occasional side project.
Being Bayesian with restaurant reviews
Exploring subtleties between reinforcement learning and game theory
On the value of Gedankenexperiments
Meta-learning is a term that has paramount usage. What gives rise to its usefulness, and how does it relate to transfer learning, and learning in general?
In statistical physics, we are often dealing with systems that comprise many components. In order to calculate their statistics, high-dimensional integrals over those variables …