ML for the Sciences

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Fri, Feb 28, 2020, 12:30 pm

We introduce Symplectic ODE-Net (SymODEN), a deep learning framework which can infer the dynamics of a physical system, given by an ordinary differential equation (ODE), from observed state trajectories.

Deep convolutional neural networks for multi-scale time-series classification in fusion devices
Fri, Feb 14, 2020, 12:30 pm

The multi-scale, mutli-physics nature of fusion plasmas makes predicting plasma events challenging. Recent advances in deep convolutional neural network architectures (CNN) utilizing dilated convolutions enable accurate predictions on sequences which have long-range, multi-scale characteristics, such as the time-series generated by diagnostic…

Generalized Lagrangian Networks
Fri, Jan 31, 2020, 12:00 pm

Even though neural networks enjoy widespread use, they still struggle to learn the basic laws of physics. How might we endow them with better inductive biases? Recent work (Greydanus et al. 2019) proposed Hamiltonian Neural Networks (HNNs) which can learn the Hamiltonian of a physical system from data using a neural network. A key issue with…

Solving Inverse Problems with Data-driven Priors
Fri, Jan 17, 2020, 12:00 pm

I will present a Bayesian machine learning architecture that combines a physically motivated parameterization and an analytic error model for the likelihood with a deep generative model providing a powerful data-driven prior for complex signals. This combination yields an interpretable and differentiable generative model, allows the…

Machine Learning for the Sciences
Fri, Dec 13, 2019, 12:00 pm

Taking place every other Friday. Lunch will be provided.

This interdisciplinary meeting focusses on ML approaches that are useful for the sciences and engineering. The style is informal, a mix of journal club, practical tutorials, and project discussion from the participants. Join us if you want to learn new ML approaches for…

Machine Learning for the Sciences
Fri, Nov 15, 2019, 12:00 pm

Taking place every other Friday. Lunch will be provided.

This interdisciplinary meeting focusses on ML approaches that are useful for the sciences and engineering. The style is informal, a mix of journal club, practical tutorials, and project discussion from the participants. Join us if you want to learn new ML approaches for…

Machine Learning for the Sciences
Fri, Nov 1, 2019, 12:00 pm

Taking place every other Friday. Lunch will be provided.

This interdisciplinary meeting focusses on ML approaches that are useful for the sciences and engineering. The style is informal, a mix of journal club, practical tutorials, and project discussion from the participants. Join us if you want to learn new ML approaches for…

Machine Learning for the Sciences
Fri, Oct 18, 2019, 12:00 pm

Taking place every other Friday. Lunch will be provided.

This interdisciplinary meeting focusses on ML approaches that are useful for the sciences and engineering. The style is informal, a mix of journal club, practical tutorials, and project discussion from the participants. Join us if you want to learn new ML approaches for…