Moritz Walden
PhD student at Department of Mathematics; Academic staff
- E-mail:
- moritz.walden@math.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
- Postal address:
- Box 480
751 06 UPPSALA
Download contact information for Moritz Walden at Department of Mathematics; Academic staff
PhD student at Department of Mathematics; Centre for Geometry and Physics
- E-mail:
- moritz.walden@physics.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
- Postal address:
- Box 480
751 06 UPPSALA
PhD student at Department of Mathematics; Geometry and Physics
- E-mail:
- moritz.walden@math.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
- Postal address:
- Box 480
751 06 UPPSALA
Download contact information for Moritz Walden at Department of Mathematics; Geometry and Physics
PhD student at Department of Physics and Astronomy; Theoretical Physics
- E-mail:
- moritz.walden@physics.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
752 37 Uppsala - Postal address:
- Box 524
751 20 UPPSALA
- ORCID:
- 0000-0001-9900-6485
Biography
- 2023 - Now, PhD Candidate in Theoretical Physics
- 2021 - 2023, MSc Theoretical Physics, University of Amsterdam

Publications
Recent publications
-
Sampling string vacua using generative models
Part of Machine Learning, 2026
- DOI for Sampling string vacua using generative models
- Download full text (pdf) of Sampling string vacua using generative models
-
Learning group invariant Calabi-Yau metrics by fundamental domain projections
Part of Machine Learning, 2025
- DOI for Learning group invariant Calabi-Yau metrics by fundamental domain projections
- Download full text (pdf) of Learning group invariant Calabi-Yau metrics by fundamental domain projections
All publications
Articles in journal
-
Sampling string vacua using generative models
Part of Machine Learning, 2026
- DOI for Sampling string vacua using generative models
- Download full text (pdf) of Sampling string vacua using generative models
-
Learning group invariant Calabi-Yau metrics by fundamental domain projections
Part of Machine Learning, 2025
- DOI for Learning group invariant Calabi-Yau metrics by fundamental domain projections
- Download full text (pdf) of Learning group invariant Calabi-Yau metrics by fundamental domain projections