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ORCIDGiovanni Luca Marchetti
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2020 – today
- 2024
[b1]Giovanni Luca Marchetti:
On Symmetries and Metrics in Geometric Inference. Royal Institute of Technology, Stockholm, Sweden, 2024- [c10]Giovanni Luca Marchetti, Christopher J. Hillar, Danica Kragic, Sophia Sanborn:
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. COLT 2024: 3775-3797 - [c9]Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic:
Hyperbolic Delaunay Geometric Alignment. ECML/PKDD (3) 2024: 111-126 - [i14]Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic:
Hyperbolic Delaunay Geometric Alignment. CoRR abs/2404.08608 (2024) - [i13]Nathan W. Henry, Giovanni Luca Marchetti, Kathlén Kohn:
Geometry of Lightning Self-Attention: Identifiability and Dimension. CoRR abs/2408.17221 (2024) - [i12]Alejandro García-Castellanos, Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Erik J. Bekkers, Danica Kragic:
HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees. CoRR abs/2409.05671 (2024) - [i11]Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero:
Relative Representations: Topological and Geometric Perspectives. CoRR abs/2409.10967 (2024) - [i10]Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn:
On the Geometry and Optimization of Polynomial Convolutional Networks. CoRR abs/2410.00722 (2024) - 2023
- [c8]Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
An Efficient and Continuous Voronoi Density Estimator. AISTATS 2023: 4732-4744 - [c7]Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic:
Equivariant Representation Learning via Class-Pose Decomposition. AISTATS 2023: 4745-4756 - [c6]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin
, Anastasiia Varava, Danica Kragic:
Learning Geometric Representations of Objects via Interaction. ECML/PKDD (4) 2023: 629-644 - [c5]Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski:
Equivariant Representation Learning in the Presence of Stabilizers. ECML/PKDD (4) 2023: 693-708 - [i9]Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski:
Equivariant Representations for Non-Free Group Actions. CoRR abs/2301.05231 (2023) - [i8]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic:
Learning Geometric Representations of Objects via Interaction. CoRR abs/2309.05346 (2023) - [i7]Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi:
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach. CoRR abs/2311.08170 (2023) - [i6]Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic, Sophia Sanborn:
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. CoRR abs/2312.08550 (2023) - 2022
- [c4]Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
Active Nearest Neighbor Regression Through Delaunay Refinement. ICML 2022: 11650-11664 - [c3]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic:
Back to the Manifold: Recovering from Out-of-Distribution States. IROS 2022: 8660-8666 - [c2]Vladislav Polianskii, Giovanni Luca Marchetti, Alexander Kravberg, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
Voronoi density estimator for high-dimensional data: Computation, compactification and convergence. UAI 2022: 1644-1653 - [i5]Vladislav Polianskii, Giovanni Luca Marchetti, Alexander Kravberg, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence. CoRR abs/2206.08051 (2022) - [i4]Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
Active Nearest Neighbor Regression Through Delaunay Refinement. CoRR abs/2206.08061 (2022) - [i3]Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic:
Equivariant Representation Learning via Class-Pose Decomposition. CoRR abs/2207.03116 (2022) - [i2]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic:
Back to the Manifold: Recovering from Out-of-Distribution States. CoRR abs/2207.08673 (2022) - [i1]Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic:
An Efficient and Continuous Voronoi Density Estimator. CoRR abs/2210.03964 (2022) - 2021
- [c1]Giovanni Luca Marchetti, Marco Moletta, Gustaf Tegnér, Peiyang Shi, Anastasiia Varava, Alexander Kravchenko, Danica Kragic:
Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation. ICAR 2021: 955-960
Coauthor Index
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