10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2024
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…
quant-ph2024★ 10 cited
A Photonic Parameter-shift Rule: Enabling Gradient Computation for Photonic Quantum Computers
Axel Pappalardo, Pierre-Emmanuel Emeriau, Giovanni de Felice +5
We present a method for gradient computation in quantum algorithms implemented on linear optical quantum computing platforms. While parameter-shift rules have become a staple in qu…