Magda Gregorova

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Topics

Fully Connected

Variable Selection

Top Venues

Trans. Mach. Learn. Res.

Publications

Yoann Boget, Magda Gregorova, Alexandros Kalousis
Discrete Graph Auto-Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Philipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling. CoRR (2024)
Philipp Väth, Alexander M. Frühwald, Benjamin Paaßen, Magda Gregorova
Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation. CoRR (2023)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Vector-Quantized Graph Auto-Encoder. CoRR (2023)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Graph annotation generative adversarial networks. ACML (2022)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
GrannGAN: Graph annotation generative adversarial networks. CoRR (2022)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Permutation Equivariant Generative Adversarial Networks for Graphs. CoRR (2021)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong generative modeling. Neurocomputing 404 (2020)
Magda Gregorova
Sparse Learning for Variable Selection with Structures and Nonlinearities. CoRR (2019)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
Structured nonlinear variable selection. UAI (2018)
Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Continual Classification Learning Using Generative Models. CoRR (2018)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. CoRR (2017)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong Generative Modeling. CoRR (2017)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang
Learning vector autoregressive models with focalised Granger-causality graphs. CoRR (2015)