Dr. Victor Francisco Ksoll

10.

3/2024
Ksoll, Victor F.; Reissl, Stefan et al. (inc. Girichidis, Philipp; Klessen, Ralf S.)
A deep-learning approach to the 3D reconstruction of dust density and temperature in star-forming regions
A&A 683, A246(2024)

9.

6/2023
Kang, Da Eun; Ksoll, Victor F. et al. (inc. Klessen, Ralf S.)
Spectral classification of young stars using conditional invertible neural networks. I. Introducing and validating the method
A&A 674, A175(2023)

8.

4/2023
Haldemann, Jonas; Ksoll, Victor et al. (inc. Klessen, Ralf S.; Walter, Daniel)
Exoplanet characterization using conditional invertible neural networks
A&A 672, A180(2023)

7.

4/2023
Kang, Da Eun; Klessen, Ralf S. et al. (inc. Glover, Simon C. O.; Ksoll, Victor F.)
Noise-Net: determining physical properties of H II regions reflecting observational uncertainties
MNRAS 520, 4981(2023)

6.

5/2022
Kang, Da Eun; Pellegrini, Eric W. et al. (inc. Ksoll, Victor F.; Glover, Simon C. O.; Klessen, Ralf S.)
Emission-line diagnostics of H II regions using conditional invertible neural networks
MNRAS 512, 617(2022)

5.

6/2021
Ksoll, Victor F.; Gouliermis, Dimitrios et al. (inc. Klessen, Ralf S.)
Measuring Young Stars in Space and Time. II. The Pre-main-sequence Stellar Content of N44
AJ 161, 257(2021)

4.

6/2021
Ksoll, Victor F.; Gouliermis, Dimitrios et al. (inc. Klessen, Ralf S.)
Measuring Young Stars in Space and Time. I. The Photometric Catalog and Extinction Properties of N44
AJ 161, 256(2021)

3.

11/2020
Ksoll, Victor F.; Ardizzone, Lynton et al. (inc. Gouliermis, Dimitrios; Klessen, Ralf)
Stellar parameter determination from photometry using invertible neural networks
MNRAS 499, 5447(2020)

2.

11/2019
Rousseau-Nepton, L.; Martin, R. P. et al. (inc. Rahner, D.; Pellegrini, E.; Klessen, R. S.; Gouliermis, D.; Ksoll, V. F.)
SIGNALS: I. Survey description
MNRAS 489, 5530(2019)

1.

9/2018
Ksoll, Victor F.; Gouliermis, Dimitrios A. et al. (inc. Grebel, Eva K.; Klessen, Ralf S.)
Hubble Tarantula Treasury Project - VI. Identification of pre-main-sequence stars using machine-learning techniques
MNRAS 479, 2389(2018)