Research output per year
Research output per year
Personal profile
Free keywords
- stochastic differential equations
- Partial Differential Equations
- Modelling
- artificial intelligence
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Dive into the research topics where Carina Geldhauser is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning
Geldhauser, C., Matt, A. D. & Stussak, C., 2022 Jun 30, IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. The Association for the Advancement of Artificial Intelligence, p. 12751-12757 7 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Limit Theorems and Fluctuations for Point Vortices of Generalized Euler Equations
Geldhauser, C. & Romito, M., 2021, In: Journal of Statistical Physics. 182, 3, 60.Research output: Contribution to journal › Article › peer-review
Open Access -
Point vortices for inviscid generalized surface quasi-geostrophic models
Geldhauser, C. & Romito, M., 2020 Jul 1, In: Discrete and Continuous Dynamical Systems - Series B. 25, 7, p. 2583-2606 24 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The point vortex model for the Euler equation
Geldhauser, C. & Romito, M., 2019, In: AIMS Mathematics. 4, 3, p. 534-575 42 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimizing the fractional power in a model with stochastic PDE constraints
Geldhauser, C. & Valdinoci, E., 2018 Nov 1, In: Advanced Nonlinear Studies. 18, 4, p. 649-669 21 p.Research output: Contribution to journal › Article › peer-review
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Lokal Hållbar Utveckling Studerad från Rymden
Hall, O., Sopasakis, A., Grillitsch, M. & Geldhauser, C.
Project: Research
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“Deep Fakes” for Good: Optimising the Scientific use of Deep Generative Models. - Advanced Study Group, Pufendorf IAS
Sopasakis, A., Aits, S., Davies, M. B., Geldhauser, C., Hall, O., Hall, S. & Smirnova, O.
2022/09/01 → 2023/05/01
Project: Research