Marchetti, Giovanni Luca

17 publications

NeurIPS 2025 Alternating Gradient Flows: A Theory of Feature Learning in Two-Layer Neural Networks Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B Simon, Michael R DeWeese, Surya Ganguli, Nina Miolane

ICLR 2025 Geometry of Lightning Self-Attention: Identifiability and Dimension Nathan W. Henry, Giovanni Luca Marchetti, Kathlén Kohn

CoRL 2025 MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs Zheyu Zhuang, Ruiyu Wang, Giovanni Luca Marchetti, Florian T. Pokorny, Danica Kragic

TMLR 2025 Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

AISTATS 2025 On the Geometry and Optimization of Polynomial Convolutional Networks Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

ICML 2025 Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn

COLT 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks Giovanni Luca Marchetti, Christopher J Hillar, Danica Kragic, Sophia Sanborn

ECML-PKDD 2024 Hyperbolic Delaunay Geometric Alignment Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic

NeurIPSW 2024 Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero

AISTATS 2023 An Efficient and Continuous Voronoi Density Estimator Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

ECML-PKDD 2023 Equivariant Representation Learning in the Presence of Stabilizers Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

AISTATS 2023 Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic

ECML-PKDD 2023 Learning Geometric Representations of Objects via Interaction Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic

NeurIPSW 2023 Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

ICML 2022 Active Nearest Neighbor Regression Through Delaunay Refinement Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

NeurIPSW 2022 Equivariant Representations for Non-Free Group Actions Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

UAI 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