Magda Gregorová

17 papers A 1C 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 C conf
Sugar-Beet Stress Detection Using Satellite Image Time Series.
ICPRAM
Bhumika Laxman Sadbhave, Philipp Väth, Denise Dejon, Gunther Schorcht, Magda Gregorová
2025 — conf
Diffusion Classifier Guidance for Non-robust Classifiers.
ECML/PKDD (2)
Philipp Väth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorová
2025 J jnl
Diffusion Classifier Guidance for Non-robust Classifiers.
CoRR
Philipp Väth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorová
2025 — conf
Loss Functions in Diffusion Models: A Comparative Study.
ECML/PKDD (2)
Dibyanshu Kumar, Philipp Väth, Magda Gregorová
2025 J jnl
Loss Functions in Diffusion Models: A Comparative Study.
CoRR
Dibyanshu Kumar, Philipp Väth, Magda Gregorová
2025 J jnl
Sugar-Beet Stress Detection using Satellite Image Time Series.
CoRR
Bhumika Laxman Sadbhave, Philipp Väth, Denise Dejon, Gunther Schorcht, Magda Gregorová
2024 J jnl
Variational Autoencoder-Based Multiobjective Topology Optimization of Electrical Machines Using Vector Graphics.
IEEE Access
Michael Heroth, Helmut C. Schmid, Magda Gregorová, Rainer Herrler, Wilfried Hofmann
2024 J jnl
Variational autoencoder-based techniques for a streamlined cross-topology modeling and optimization workflow in electrical drives.
Auton. Intell. Syst.
Marius Benkert, Michael Heroth, Rainer Herrler, Magda Gregorová, Helmut C. Schmid
2021 J jnl
Learned transform compression with optimized entropy encoding.
CoRR
Magda Gregorová, Marc Desaules, Alexandros Kalousis
2020 J jnl
Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data.
Entropy
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2020 A conf
Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors.
ECAI
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2019 J jnl
Improving VAE generations of multimodal data through data-dependent conditional priors.
CoRR
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2018 — conf
Large-Scale Nonlinear Variable Selection via Kernel Random Features.
ECML/PKDD (2)
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018 J jnl
Large-scale Nonlinear Variable Selection via Kernel Random Features.
CoRR
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018 J jnl
Structured nonlinear variable selection.
CoRR
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
2017 — conf
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies.
ECML/PKDD (2)
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
2017 C conf
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks.
ACML
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet