Equivariant representation learning via class-pose decomposition GL Marchetti, G Tegnér, A Varava, D Kragic
International Conference on Artificial Intelligence and Statistics, 4745-4756, 2023
16 2023 Back to the manifold: Recovering from out-of-distribution states A Reichlin, GL Marchetti, H Yin, A Ghadirzadeh, D Kragic
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
6 2022 Hearts and towers in stable D Fiorenza, F Loregian, GL Marchetti
Journal of Homotopy and Related Structures 14 (4), 993-1042, 2019
6 2019 Voronoi density estimator for high-dimensional data: Computation, compactification and convergence V Polianskii, GL Marchetti, A Kravberg, A Varava, FT Pokorny, D Kragic
Uncertainty in Artificial Intelligence, 1644-1653, 2022
4 2022 Active nearest neighbor regression through delaunay refinement A Kravberg, GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic
International Conference on Machine Learning, 11650-11664, 2022
3 2022 An efficient and continuous Voronoi density estimator GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic
International Conference on Artificial Intelligence and Statistics, 4732-4744, 2023
2 2023 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks GL Marchetti, C Hillar, D Kragic, S Sanborn
arXiv preprint arXiv:2312.08550, 2023
1 2023 Equivariant Representation Learning in the Presence of Stabilizers LAP Rey, GL Marchetti, D Kragic, D Jarnikov, M Holenderski
arXiv preprint arXiv:2301.05231, 2023
1 2023 Hyperbolic Delaunay Geometric Alignment A Aiman Medbouhi, GL Marchetti, V Polianskii, A Kravberg, P Poklukar, ...
arXiv e-prints, arXiv: 2404.08608, 2024
2024 On Symmetries and Metrics in Geometric Inference GL Marchetti
KTH Royal Institute of Technology, 2024
2024 Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach GL Marchetti, G Cesa, K Pratik, A Behboodi
arXiv preprint arXiv:2311.08170, 2023
2023 Learning Geometric Representations of Objects via Interaction A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023 Equivariant Representations for Non-Free Group Actions LAP Rey, GL Marchetti, D Kragic, D Jarnikov, M Holenderski
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
2022 Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation GL Marchetti, M Moletta, G Tegnér, P Shi, A Varava, A Kravchenko, ...
2021 20th International Conference on Advanced Robotics (ICAR), 955-960, 2021
2021 The (he) art of gluing GL Marchetti, D Fiorenza
arXiv preprint arXiv:1806.00883, 2018
2018 
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyDirección de correo verificada de kth.se
