1 code implementation • 12 Apr 2024 • Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic
Hyperbolic machine learning is an emerging field aimed at representing data with a hierarchical structure.
1 code implementation • 13 Dec 2023 • Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic, Sophia Sanborn
In this work, we formally prove that, under certain conditions, if a neural network is invariant to a finite group then its weights recover the Fourier transform on that group.
no code implementations • 14 Nov 2023 • Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi
Lattice reduction is a combinatorial optimization problem aimed at finding the most orthogonal basis in a given lattice.
1 code implementation • 11 Sep 2023 • Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
We address the problem of learning representations from observations of a scene involving an agent and an external object the agent interacts with.
1 code implementation • 12 Jan 2023 • Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski
We introduce Equivariant Isomorphic Networks (EquIN) -- a method for learning representations that are equivariant with respect to general group actions over data.
no code implementations • 18 Jul 2022 • Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
However, a major challenge is a distributional shift between the states in the training dataset and the ones visited by the learned policy at the test time.
1 code implementation • 7 Jul 2022 • Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic
We introduce a general method for learning representations that are equivariant to symmetries of data.
no code implementations • 16 Jun 2022 • Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
We introduce an algorithm for active function approximation based on nearest neighbor regression.