Research output per year
Research output per year
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Dive into the research topics where Jonas Latz 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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Deep Gaussian process priors for Bayesian image reconstruction
Latz, J., Teckentrup, A. L. & Urbainczyk, S., 2025, In: Inverse Problems. 41, 065016.Research output: Contribution to journal › Article › peer-review
Open Access -
How to beat a Bayesian adversary
Ding, Z., Jin, K., Latz, J. & Liu, C., 28 Mar 2025, (E-pub ahead of print) In: European Journal of Applied Mathematics. 23 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Losing Momentum in Continuous-time Stochastic Optimisation
Jin, K., Latz, J., Liu, C. & Scagliotti, A., 2025, In: Journal of Machine Learning Research. 26, 55 p., 148.Research output: Contribution to journal › Article › peer-review
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Partial differential equations in data science
Bertozzi, A. L., Drenska, N., Latz, J. & Thorpe, M., 2025, In: Royal Society of London. Philosophical Transactions A. 383, 2298, 20240249.Research output: Contribution to journal › Review article
Open Access -
The random timestep Euler method and its continuous dynamics
Latz, J., 23 Nov 2025, In: IMA Journal of Numerical Analysis. draf096.Research output: Contribution to journal › Article › peer-review
Open Access
Prizes
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SIAM Activity Group Uncertainty Quantification Early Career Prize
Latz, J. (Recipient), 2024
Prize: Prize (including medals and awards)
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