Scholar
Lars Ruthotto
Google Scholar ID: EaBF6r0AAAAJ
Emory University
Citations & Impact
Citations
4,319
H-index
25
i10-index
42
Publications
20
Co-authors
32
list available
Publications
Resume (English only)
Academic Achievements
- Chair of the SIAM Activity Group on Data Science (since January 2024).
- Section Editor for Machine Learning journal.
- Co-organizer of the 'Future of AI and the Mathematical and Physical Sciences Workshop'.
- Co-organizer of the NSF Computational Mathematics PI Meeting (May 2025, Salt Lake City).
- Teaches courses including Math 785R: Deep Generative Modeling and a Deep Generative Modeling Workshop.
Research Experience
- Research on numerical algorithms for high-dimensional differential equations, optimization, and inference.
- Focus areas: generative models, continuous-time deep learning, mixed-precision training, and efficient numerical optimization.
- Treats neural networks as dynamical systems, analyzed and trained via numerical methods.
- Develops optimal-transport–based generative models, structure-exploiting optimizers, lean architectures, and mixed-precision algorithms for quantized networks.
- Uses neural networks to approximate value functions and transport maps for high-dimensional optimal control, mean field games, and Bayesian inverse problems.
- Designs learnable iterative solvers to accelerate PDE simulators.
- Collaborates with national laboratories and industry partners; open to new collaborations.
