Kathlén Kohn

My main research interests are in algebraic geometry, as well as its computational aspects and applications to data science and artificial intelligence. ​I enjoy to investigate connections to discrete geometry, combinatorics, representation theory, tropical geometry, statistics, machine learning, computer vision, and music!

News

Wallenberg Prize

Göran Gustafsson Prize for Young Researchers at UU/KTH

CVPR Highlight: Order-One Rolling-Shutter Cameras

Open PhD position: Algebraic Neural Network Theory

accepted at ICLR: Geometry of Lightning Self-Attention: Identifiability and Dimension

accepted at AISTATS: On the Geometry and Optimization of Polynomial Convolutional Networks

Tutorial at SIAM AG25: Metric Algebraic Geometry

SIAM SIGEST award 2024: A Bridge between Invariant Theory and Maximum Likelihood Estimation

I am on the editorial board of Mathematical Foundations of Machine Learning

More Info

Personal website
https://kathlenkohn.github.io/

I am anELLIS member. My research is supported by:

• Wallenberg AI, Autonomous Systems and Software Program (WASP)
• WASP NESTNeural3D
  (3D Scene Perception, Embeddings and Neural Rendering)
• Göran Gustafsson stiftelse UU/KTH
• Swedish Foundations' Starting Grant Algebraic Vision(2025-2030) funded byRagnar Söderbergs stiftelse

 

About WASP

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

Read more: https://wasp-sweden.org/

The graduate school within WASP is dedicated to provide skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.

Read more: https://wasp-sweden.org/graduate-school/