Gregorova, Magda

9 publications

ECML-PKDD 2025 Diffusion Classifier Guidance for Non-Robust Classifiers Philipp Väth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorová

ECML-PKDD 2025 Loss Functions in Diffusion Models: A Comparative Study Dibyanshu Kumar, Philipp Väth, Magda Gregorová

TMLR 2024 Discrete Graph Auto-Encoder Yoann Boget, Magda Gregorova, Alexandros Kalousis

ACML 2022 Graph Annotation Generative Adversarial Networks Yoann Boget, Magda Gregorova, Alexandros Kalousis

ICLRW 2021 Learned Transform Compression with Optimized Entropy Encoding Magda Gregorova, Marc Desaules, Alexandros Kalousis

ECML-PKDD 2018 Large-Scale Nonlinear Variable Selection via Kernel Random Features Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet

UAI 2018 Structured Nonlinear Variable Selection Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet

ECML-PKDD 2017 Forecasting and Granger Modelling with Non-Linear Dynamical Dependencies Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

ACML 2017 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet