Varava, Anastasiia

8 publications

AISTATS 2023 An Efficient and Continuous Voronoi Density Estimator Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

AISTATS 2023 Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic

ECML-PKDD 2023 Learning Geometric Representations of Objects via Interaction Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic

ICML 2022 Active Nearest Neighbor Regression Through Delaunay Refinement Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

ICLR 2022 Delaunay Component Analysis for Evaluation of Data Representations Petra Poklukar, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic Jensfelt

UAI 2022 Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence Vladislav Polianskii, Giovanni Luca Marchetti, Alexander Kravberg, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

ICML 2021 GeomCA: Geometric Evaluation of Data Representations Petra Poklukar, Anastasiia Varava, Danica Kragic

NeurIPSW 2020 Witness Autoencoder: Shaping the Latent Space with Witness Complexes Simon Till Schönenberger, Anastasiia Varava, Vladislav Polianskii, Jen Jen Chung, Danica Kragic, Roland Siegwart