Teodora Pandeva - Google Scholar

Get my own profile

Cited by

	All	Since 2019
Citations	35	34
h-index	3	3
i10-index	2	2

0

14

7

202020212022202320243 5 4 9 13

Public access

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Patrick ForréAssociate Professor Machine Learning, AI4Science Lab Manager, University of AmsterdamVerified email at uva.nl
Matthias SchubertLMU MunichVerified email at dbs.ifi.lmu.de
Tim BakkerPhD student, University of AmsterdamVerified email at uva.nl
Christian A. NaessethAssistant Professor, University of AmsterdamVerified email at uva.nl
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu

Teodora Pandeva

Teodora Pandeva

University of Amsterdam

Verified email at uva.nl

identifiable representation leartning sequential testing nonparametric inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mmgan: Generative adversarial networks for multi-modal distributions T Pandeva, M Schubert arXiv preprint arXiv:1911.06663, 2019	17	2019
E-valuating classifier two-sample tests T Pandeva, T Bakker, CA Naesseth, P Forré TMLR, 2024	11	2024
Multi-view independent component analysis with shared and individual sources T Pandeva, P Forré Uncertainty in Artificial Intelligence, 1639-1650, 2023	5	2023
Deep anytime-valid hypothesis testing T Pandeva, P Forré, A Ramdas, S Shekhar International Conference on Artificial Intelligence and Statistics, 622-630, 2024	1	2024
Performance of automatic Liver Volumetry for Selective Internal Radiotherapy JM Guerra, M Mustafa, T Pandeva, FA Pinto, P Matthies, J Brosch-Lenz, ... Nuklearmedizin-NuclearMedicine 60 (02), V71, 2021	1	2021
longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types J Hagenberg, M Budde, T Pandeva, I Kondofersky, SK Schaupp, FJ Theis, ... Bioinformatics 40 (4), btae137, 2024		2024
Multi-View Independent Component Analysis for Omics Data Integration T Pandeva, P Forré 2023 ICLR First Workshop on Machine Learning & Global Health, 2023		2023

The system can't perform the operation now. Try again later.

Articles 1–7