معرفی
Jacob Lindbäck is a doctoral student at KTH Royal Institute of Technology, affiliated with the Division of Decision and Control Systems and the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research focuses on the analysis and development of scalable optimization algorithms for machine learning, particularly computational optimal transport and its applications.
Key research areas:
- Machine Learning
- Optimization Algorithms
- Optimal Transport
- Computational Mathematics
Publications highlight advancements in GPU-accelerated splitting methods for optimal transport, novel algorithms, and computational efficiency. He also contributes as an assistant for the course Modelling of Dynamical Systems (EL2820).
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Jacob Lindbäck در سایتهای دیگر
جستوجوهای مرتبط
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- JJavier Ron ArteagaKTH Royal Institute of Technology · پژوهشگر
Martin IsakssonKTH Royal Institute of Technology · پژوهشگر
Dejan KosticKTH Royal Institute of Technology · استاد- RRaghav BongoleKTH Royal Institute of Technology · پژوهشگر
- PPontus GiselssonSaarland University · دانشیار
Johan HåstadKTH Royal Institute of Technology · استاد