4 citations · 6 across the 5 of their papers we have counts for
5 papers
Emergent Abilities in Large Language Models: A Survey
Leonardo Berti, Flavio Giorgi, Gjergji Kasneci
Large Language Models (LLMs) are leading a new technological revolution as one of the most promising research streams toward artificial general intelligence. The scaling of these m…
TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
Leonardo Berti, Gjergji Kasneci
Price Trend Prediction (PTP) based on Limit Order Book (LOB) data is a fundamental challenge in financial markets. Despite advances in deep learning, existing models fail to genera…
TRADES: Generating Realistic Market Simulations with Diffusion Models
Leonardo Berti, Bardh Prenkaj, Paola Velardi
Financial markets are complex systems characterized by high statistical noise, nonlinearity, volatility, and constant evolution. Thus, modeling them is extremely hard. Here, we add…
Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder
Leonardo Berti
I developed a neural audio codec model based on the residual quantized variational autoencoder architecture. I train the model on the Slakh2100 dataset, a standard dataset for musi…
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Matteo Prata, Giuseppe Masi, Leonardo Berti +6
The recent advancements in Deep Learning (DL) research have notably influenced the finance sector. We examine the robustness and generalizability of fifteen state-of-the-art DL mod…