| 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 | 29 | 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 | 27* | 2022 |
| Equivariant representation learning via class-pose decomposition GL Marchetti, G Tegnér, A Varava, D Kragic International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 23 | 2023 |
| 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 | 13 | 2022 |
| An Invitation to Neuroalgebraic Geometry GL Marchetti, V Shahverdi, S Mereta, M Trager, K Kohn International Conference on Machine Learning (ICML), 2025 | 12* | 2025 |
| Geometry of lightning self-attention: Identifiability and dimension NW Henry, GL Marchetti, K Kohn International Conference on Learning Representations (ICLR), 2024 | 11 | 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 | 8 | 2024 |
| Hearts and towers in stable∞-categories D Fiorenza, F Loregian, GL Marchetti Journal of Homotopy and Related Structures, 2019 | 7 | 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 | 6 | 2023 |
| Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks V Shahverdi, GL Marchetti, K Kohn arXiv preprint arXiv:2505.11846, 2025 | 5 | 2025 |
| 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 | 5 | 2025 |
| Relative representations: Topological and geometric perspectives A García-Castellanos, GL Marchetti, D Kragic, M Scolamiero NeurIPS Workshop on Unifying Representations in Neural Models, 2024 | 4 | 2024 |
| 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 | 4* | 2024 |
| The (he) art of gluing GL Marchetti, D Fiorenza arXiv preprint arXiv:1806.00883, 2018 | 4* | 2018 |
| 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 |
| Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks D Kunin, GL Marchetti, F Chen, D Karkada, JB Simon, MR DeWeese, ... Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 | 2 | 2025 |
| 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 | 2 | 2023 |
| 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 | 2 | 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 | 2* | 2023 |
| Towards Discovering the Hierarchy of the Olfactory Perceptual Space via Hyperbolic Embeddings F Taleb, AA Medbouhi, GL Marchetti, D Kragic Jensfelt Computational and Systems Neuroscience (COSYNE), 2025 | 1 | 2025 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
