ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
Nilo Schwencke, Cyril Furtlehner, "ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning." arXiv, 2024.
CV
Education
- Ph.D in Computer Science, Paris-Saclay University, 2025 (expected)
- M.S. in Mathematics, Karlsruhe Institute for Technology, 2023
- Diplôme d’Ingénieur, École polytechnique, 2018 (focus in Data Science)
- B.S. in Mathematics, Paris-Sud University, 2015
Work experience
tbc
Publications
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California