Dimensionality reduction for prediction: Application to Bitcoin and Ethereum. - Hugo Inzirillo; Benjamin Mat (CoRR, 2021)

Deep Fusion of Lead-lag Graphs: Application to Cryptocurrencies. - Hugo Schnoering; Hugo Inzirillo (CoRR, 2022)

An Attention Free Long Short-Term Memory for Time Series Forecasting. - Hugo Inzirillo; Ludovic De Villelongue (CoRR, 2022)

An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies. - Hugo Inzirillo; Ludovic De Villelongue (CoRR, 2023)

TKAN: Temporal Kolmogorov-Arnold Networks. - Remi Genet; Hugo Inzirillo (CoRR, 2024)

A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting. - Remi Genet; Hugo Inzirillo (CoRR, 2024)

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series. - Hugo Inzirillo; Remi Genet (CoRR, 2024)

Deep State Space Recurrent Neural Networks for Time Series Forecasting. - Hugo Inzirillo (CoRR, 2024)

A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts. - Hugo Inzirillo; Remi Genet (CoRR, 2024)

A Temporal Linear Network for Time Series Forecasting. - Remi Genet; Hugo Inzirillo (CoRR, 2024)

Clustering Digital Assets Using Path Signatures: Application to Portfolio Construction. - Hugo Inzirillo (CoRR, 2024)

CaAdam: Improving Adam optimizer using connection aware methods. - Remi Genet; Hugo Inzirillo (CoRR, 2024)

Contributions to Econometric and Deep Learning Methods for Time Series Forecasting. (Contributions aux méthodes économétriques et d'apprentissage profond pour la prévision de séries temporelles). - Hugo Inzirillo (2024)

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3. - Remi Genet; Hugo Inzirillo (CoRR, 2025)

STAN: Smooth Transition Autoregressive Networks. - Hugo Inzirillo; Remi Genet (CoRR, 2025)

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms. - Remi Genet; Hugo Inzirillo (CoRR, 2025)

LEMs: A Primer On Large Execution Models. - Remi Genet; Hugo Inzirillo (CoRR, 2025)