| Equivariant representation learning via class-pose decomposition GL Marchetti, G Tegnér, A Varava, D Kragic International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 18 | 2023 |
| Harmonics of learning: Universal fourier features emerge in invariant networks GL Marchetti, CJ Hillar, D Kragic, S Sanborn Annual Conference on Learning Theory (COLT), 2024 | 14 | 2024 |
| Back to the manifold: Recovering from out-of-distribution states A Reichlin, GL Marchetti, H Yin, A Ghadirzadeh, D Kragic International Conference on Intelligent Robots and Systems (IROS), 2022 | 14 | 2022 |
| Voronoi density estimator for high-dimensional data: Computation, compactification and convergence V Polianskii, GL Marchetti, A Kravberg, A Varava, FT Pokorny, D Kragic Conference on Uncertainty in Artificial Intelligence (UAI), 2022 | 9 | 2022 |
| Hearts and towers in stable∞-categories D Fiorenza, F Loregian, GL Marchetti Journal of Homotopy and Related Structures, 2019 | 6 | 2019 |
| An efficient and continuous Voronoi density estimator GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 5 | 2023 |
| Geometry of lightning self-attention: Identifiability and dimension NW Henry, GL Marchetti, K Kohn International Conference on Learning Representations (ICLR), 2024 | 4 | 2024 |
| Active nearest neighbor regression through delaunay refinement A Kravberg, GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic International Conference on Machine Learning (ICML), 2022 | 3 | 2022 |
| Hypersteiner: Computing heuristic hyperbolic steiner minimal trees A García-Castellanos, AA Medbouhi, GL Marchetti, EJ Bekkers, D Kragic Symposium on Algorithm Engineering and Experiments (ALENEX), 2025 | 2 | 2025 |
| Hyperbolic Delaunay Geometric Alignment A Aiman Medbouhi, GL Marchetti, V Polianskii, A Kravberg, P Poklukar, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 2* | 2024 |
| On the Geometry and Optimization of Polynomial Convolutional Networks V Shahverdi, GL Marchetti, K Kohn International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 1 | 2024 |
| Relative representations: Topological and geometric perspectives A García-Castellanos, GL Marchetti, D Kragic, M Scolamiero NeurIPS Workshop on Unifying Representations in Neural Models, 2024 | 1 | 2024 |
| Equivariant Representation Learning in the Presence of Stabilizers LA Pérez Rey, GL Marchetti, D Kragic, D Jarnikov, M Holenderski Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 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 | 1* | 2023 |
| Rubik's Abstract Polytopes GL Marchetti arXiv preprint arXiv:2502.13518, 2025 | | 2025 |
| An Invitation to Neuroalgebraic Geometry GL Marchetti, V Shahverdi, S Mereta, M Trager, K Kohn arXiv preprint arXiv:2501.18915, 2025 | | 2025 |
| 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 Transactions on Machine Learning Research (TMLR), 2023 | | 2023 |
| Equivariant Representations for Non-Free Group Actions LAP Rey, GL Marchetti, D Kragic, D Jarnikov, M Holenderski NeurIPS 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, ... International Conference on Advanced Robotics (ICAR), 2021 | | 2021 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of Technology確認したメール アドレス: kth.se