Giovanni Luca Marchetti

According to our database, Giovanni Luca Marchetti authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Invitation to Neuroalgebraic Geometry.

Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn

CoRR, January, 2025

2024

On Symmetries and Metrics in Geometric Inference.

Giovanni Luca Marchetti

PhD thesis, 2024

On the Geometry and Optimization of Polynomial Convolutional Networks.

Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

CoRR, 2024

Relative Representations: Topological and Geometric Perspectives.

Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero

CoRR, 2024

HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees.

Alejandro García-Castellanos, Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Erik J. Bekkers, Danica Kragic

CoRR, 2024

Geometry of Lightning Self-Attention: Identifiability and Dimension.

Nathan W. Henry, Giovanni Luca Marchetti, Kathlén Kohn

CoRR, 2024

Hyperbolic Delaunay Geometric Alignment.

Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks.

Giovanni Luca Marchetti, Christopher J. Hillar, Danica Kragic, Sophia Sanborn

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach.

Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

CoRR, 2023

Equivariant Representations for Non-Free Group Actions.

Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

CoRR, 2023

Equivariant Representation Learning in the Presence of Stabilizers.

Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Learning Geometric Representations of Objects via Interaction.

Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Equivariant Representation Learning via Class-Pose Decomposition.

Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

An Efficient and Continuous Voronoi Density Estimator.

Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Back to the Manifold: Recovering from Out-of-Distribution States.

Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active Nearest Neighbor Regression Through Delaunay Refinement.

Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation.

Giovanni Luca Marchetti, Marco Moletta, Gustaf Tegnér, Peiyang Shi, Anastasiia Varava, Alexander Kravchenko, Danica Kragic

Proceedings of the 20th International Conference on Advanced Robotics, 2021