282 citations · 415 across the 60 of their papers we have counts for
4 papers · 1 filter
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
Simone Luetto, Fabrizio Garuti, Enver Sangineto +2
There is a recent growing interest in applying Deep Learning techniques to tabular data, in order to replicate the success of other Artificial Intelligence areas in this structured…
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello +2
Denoising Diffusion Probabilistic Models have shown an impressive generation quality, although their long sampling chain leads to high computational costs. In this paper, we observ…
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
Recurrent Neural Networks with Long Short-Term Memory (LSTM) make use of gating mechanisms to mitigate exploding and vanishing gradients when learning long-term dependencies. For t…
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello, Davide Abati, Simone Calderara +1
We present a novel and hierarchical approach for supervised classification of signals spanning over a fixed graph, reflecting shared properties of the dataset. To this end, we intr…