7 citations · 7 across the 5 of their papers we have counts for
5 papers
Why Do Time Series Models Need Long Context Windows?
Luca Butera, Giovanni De Felice, Andrea Cini +1
Modern deep learning models for forecasting groups of time series rely on increasingly longer observation windows. However, the benefit of increasing the window size is often simpl…
An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs
Luca Crupi, Luca Butera, Alberto Ferrante +2
Efficient crop production requires early detection of pest outbreaks and timely treatments; we consider a solution based on a fleet of multiple autonomous miniaturized unmanned aer…
On the Regularization of Learnable Embeddings for Time Series Forecasting
Luca Butera, Giovanni De Felice, Andrea Cini +1
In forecasting multiple time series, accounting for the individual features of each sequence can be challenging. To address this, modern deep learning methods for time series analy…
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
Luca Crupi, Luca Butera, Alberto Ferrante +1
Smart farming and precision agriculture represent game-changer technologies for efficient and sustainable agribusiness. Miniaturized palm-sized drones can act as flexible smart sen…
Object-Centric Relational Representations for Image Generation
Luca Butera, Andrea Cini, Alberto Ferrante +1
Conditioning image generation on specific features of the desired output is a key ingredient of modern generative models. However, existing approaches lack a general and unified wa…