Ludwig Winkler
Doctoral Researcher
Ludwig Winkler is a PhD student working on differential equations and how machine learning can be leveraged to model the known unknowns.
He received an undergraduate degree in biomedical engineering and a graduate degree in computer science with a strong focus on statistics and machine learning.
- Differential Equations
- Stochastic Differential Equations
- Probabilistic Models
- Differentiable Simulations
- Algorithmic Differentiation
Bipeng Wang, Ludwig Winkler, Yifan Wu, Klaus-Robert Müller, Huziel E. Sauceda, Oleg V. Prezhdo
Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks
Ludwig Winkler, César Ojeda, Manfred Opper
Stochastic Control for Bayesian Neural Network Training
BIFOLD researchers present three papers at ICLR 2024
The International Conference on Learning Representations (ICLR) is a Core-A gathering of experts who are dedicated to advancing a branch of artificial intelligence known as representation learning, which is also called deep learning.