Tegan Maharaj: Thoughts and Experiments at the Intersection of Theoretical Ecology and Deep Learning

Tegan Maharaj, Mila - Quebec AI Institute
Mar 20, 2020
Title: Thoughts and Experiments at the Intersection of Theoretical Ecology and Deep Learning
CompSust Open Graduate Seminar (COGS)
www.compsust.ne...
Abstract:
The current research is at the intersection of theoretical ecology and deep learning. I'll give an intro to theoretical ecology/ecosystem modelling, and then I'll talk about ways these two fields can benefit from each other by giving some examples of work that I'm doing or plan to do. I'll zoom in particular on some early results in using meta-learning to learn representations of chaotic dynamical systems.
Bio:
Tegan is affiliated with Mila. Tegan is broadly interested in understanding the effects on learning behavior and generalization of varying "what goes into" deep models. In her research so far this has included multimodal input data, regularization, and different forms of feedback or environment, with applications to video, natural language, and climate data. She is concerned and passionate about AI ethics, safety, and the application of ML to environmental management, health, and social welfare.