Jesse Bettencourt
University of Toronto(CA)
Publications by Year
Research Areas
Model Reduction and Neural Networks, Neural Networks and Applications, Computational Physics and Python Applications, Generative Adversarial Networks and Image Synthesis, Banana Cultivation and Research
Most-Cited Works
- → Neural Ordinary Differential Equations(2018)566 cited
- → FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative\n Models(2018)320 cited
- → DiffEqFlux.jl - A Julia Library for Neural Differential Equations(2019)89 cited
- → Learning Differential Equations that are Easy to Solve(2020)47 cited
- Taylor-Mode Automatic Differentiation for Higher-Order Derivatives in JAX(2019)
- Joint Importance Sampling for Variational Inference(2018)
- → Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs(2020)1 cited
- Climate Change Podcast Series - Geoengineering and Climate Change: Desertification(2014)