233 citations · 328 across the 16 of their papers we have counts for
6 papers · 1 filter
Cosmology from Galaxy Redshift Surveys with PointNet
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak +4
In recent years, deep learning approaches have achieved state-of-the-art results in the analysis of point cloud data. In cosmology, galaxy redshift surveys resemble such a permutat…
Fast emulation of two-point angular statistics for photometric galaxy surveys
Marco Bonici, Luca Biggio, Carmelita Carbone +1
We develop a set of machine-learning based cosmological emulators, to obtain fast model predictions for the angular power spectrum coefficients characterising tomographic…
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio +3
Transformers have achieved remarkable success in several domains, ranging from natural language processing to computer vision. Nevertheless, it has been recently shown that stackin…
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
Luca Biggio, Tommaso Bendinelli, Chetan Kulkarni +1
Electrochemical batteries are ubiquitous devices in our society. When they are employed in mission-critical applications, the ability to precisely predict the end of discharge unde…
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
Dimitri von Rütte, Luca Biggio, Yannic Kilcher +1
Generating music with deep neural networks has been an area of active research in recent years. While the quality of generated samples has been steadily increasing, most methods ar…
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio +3
Many finance, physics, and engineering phenomena are modeled by continuous-time dynamical systems driven by highly irregular (stochastic) inputs. A powerful tool to perform time se…