David Nabergoj

1. NABERGOJ, David. Avtomatsko merjenje dolžin smučarskih skokov z globokimi nevronskimi mrežami : delo je pripravljeno v skladu s Pravilnikom o podeljevanju Prešernovih nagrad študentom, pod mentorstvom izr. prof. dr. Matjaža Kukarja. Ljubljana: [D. Nabergoj], 2019. 58 str., ilustr. https://repozitorij.uni-lj.si/IzpisGradiva.php?id=109332&lang=slv. [COBISS.SI-ID 1538475971]
award: Fakultetna Prešernova nagrada

2. NABERGOJ, David. Avtomatsko merjenje dolžin smučarskih skokov z globokimi nevronskimi mrežami : diplomsko delo : univerzitetni študijski program prve stopnje Računalništvo in informatika. Ljubljana: [D. Nabergoj], 2019. 58 str., ilustr. https://repozitorij.uni-lj.si/IzpisGradiva.php?id=109332&lang=slv, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 1538309315]

3. KUKAR, Matjaž, NABERGOJ, David. Automatic ski-jump distance measurement with convolutional neural networks and computer vision. In: ŽEMVA, Andrej (ed.), TROST, Andrej (ed.). Zbornik devetindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2020 = Proceedings of the Twenty-ninth International Electrotechnical and Computer Science Conference ERK 2020. ERK 2020, Portorož, Slovenija, 21.-22. september 2020. Ljubljana: Slovenska sekcija IEEE: = Slovenian Section IEEE, 2020. Str. 248-251, ilustr. Zbornik ... Elektrotehniške in računalniške konference (Online), 29. ISSN 2591-0442. https://erk.fe.uni-lj.si/2020/papers/kukar(automatic_ski_jump).pdf, http://www.dlib.si/details/URN:NBN:SI:doc-Q4IPI5JZ. [COBISS.SI-ID 30096387]

4. DE LUISA, Andraž, HARTMAN, Jan, NABERGOJ, David, PAHOR, Samo, RUS, Marko, STEVANOSKI, Bozhidar, DEMŠAR, Jure, ŠTRUMBELJ, Erik. Predicting the popularity of games on Steam. Elektrotehniški vestnik. [Slovenska tiskana izd.]. 2021, letn. 88, št. 4, str. 151-162, ilustr. ISSN 0013-5852. https://ev.fe.uni-lj.si/4-2021/Luisa.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-7L8KC6OK. [COBISS.SI-ID 87850243]

5. NABERGOJ, David. Predictive maintenance with Bayesian deep learning : master's thesis : the 2nd cycle master's study programme Computer and Information Science. Ljubljana: [D. Nabergoj], 2021. XII, 82 str., ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 84824579]

6. KARAMANIS, Minas, BEUTLER, Florian, PEACOCK, John A., NABERGOJ, David, SELJAK, Uroš. Accelerating astronomical and cosmological inference with preconditioned Monte Carlo. Monthly notices of the royal astronomical society. Oct. 2022, vol. 516, iss. 2, str. 1644-1653, ilustr. ISSN 0035-8711. https://academic.oup.com/mnras/article/516/2/1644/6670808, Repository of the University of Ljubljana – RUL , DOI: 10.1093/mnras/stac2272. [COBISS.SI-ID 243782403]

7. NABERGOJ, David, D'ALCONZO, Alessandro, VALERIO, Danilo, ŠTRUMBELJ, Erik. Topic extraction by clustering word embeddings on short online texts. Elektrotehniški vestnik. [Slovenska tiskana izd.]. 2022, letn. 89, št. 1/2, str. 64-72, ilustr. ISSN 0013-5852. https://ev.fe.uni-lj.si/1-2-2022/Nabergoj.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-NZDSFA9I. [COBISS.SI-ID 107771651]
project: Partially supported by the Slovenian Research Agency (ARRS) research core funding P5- 0410

8. NABERGOJ, David, ŠTRUMBELJ, Erik. Empirical evaluation of normalizing flows in Markov chain Monte Carlo. Machine learning. [Print ed.]. Dec. 2025, vol. 114, iss. 12, article no. 282, str. 1-50, graf. prikazi. ISSN 0885-6125. https://link.springer.com/article/10.1007/s10994-025-06900-3, Repository of the University of Ljubljana – RUL , DOI: 10.1007/s10994-025-06900-3. [COBISS.SI-ID 258064387]

9. PETEK, Bernarda, NABERGOJ, David, ŠTRUMBELJ, Erik. A general approach to visualizing uncertainty in statistical graphics. IEEE transactions on visualization and computer graphics. Sep. 2026, vol. 32, no. 9, str. 7819-7833, ilustr. ISSN 1077-2626. https://ieeexplore.ieee.org/document/11568720, DOI: 10.1109/TVCG.2026.3704459. [COBISS.SI-ID 283491843]

10. PETEK, Bernarda, NABERGOJ, David, ŠTRUMBELJ, Erik. Perceptual aspects of uncertainty visualization. In: KASTRIN, Andrej (ed.), LUSA, Lara (ed.). Applied Statistics 2026 : international conference : program and abstracts : September 21-23, 2026, Koper, Slovenia. Ljubljana: Statistical Society of Slovenia, 2026. Str. 72. ISBN 978-961-97627-0-7. https://as.mf.uni-lj.si/book.pdf. [COBISS.SI-ID 294132227]