Giovanni Luca Marchetti

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Nearest Neighbor

Learning Systems

Density Estimation

Polynomial Regression

Top Venues

Publications

Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic
Hyperbolic Delaunay Geometric Alignment. CoRR (2024)
Giovanni Luca Marchetti, Christopher J. Hillar, Danica Kragic, Sophia Sanborn
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. COLT (2024)
Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic, Sophia Sanborn
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. CoRR (2023)
Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach. CoRR (2023)
Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic
Equivariant Representation Learning via Class-Pose Decomposition. AISTATS (2023)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
Learning Geometric Representations of Objects via Interaction. CoRR (2023)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
Learning Geometric Representations of Objects via Interaction. ECML/PKDD (4) (2023)
Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
An Efficient and Continuous Voronoi Density Estimator. AISTATS (2023)
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)
Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski
Equivariant Representations for Non-Free Group Actions. CoRR (2023)
Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
An Efficient and Continuous Voronoi Density Estimator. CoRR (2022)
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)
Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
Active Nearest Neighbor Regression Through Delaunay Refinement. CoRR (2022)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. IROS (2022)
Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
Active Nearest Neighbor Regression Through Delaunay Refinement. ICML (2022)
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 (2022)
Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic
Equivariant Representation Learning via Class-Pose Decomposition. CoRR (2022)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. CoRR (2022)
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)