Troy, NY, United States of America

Luigi Vanfretti

This inventor holds 1 USPTO granted patent. Top assignees: International Business Machines Corporation, Rensselaer Polytechnic Institute. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Luigi Vanfretti. Retrieved from https://idiyas.com/inventor/luigi-vanfretti

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Luigi Vanfretti: Inventor of Neural Network Architectures

Introduction

Luigi Vanfretti is an inventor associated with Troy, New York. His work includes a patented approach to recurrent neural networks inspired by discrete-time dynamical systems.

Latest Patents

Vanfretti is credited with 1 patent: “Designing Ladder and Laguerre Orthogonal Recurrent Neural Network Architectures Inspired by Discrete-Time Dynamical Systems.” The invention describes a method and system for making predictions with a recurrent neural network (RNN) modeling a discrete-time linear time-invariant system.

The RNN receives memory, external input, state, and hidden-output flows. It computes an updated state flow through a linear combination of the external input and memory flow, constrained by matrices corresponding to a Laguerre orthogonal basis. Using a coordinate matrix, it then derives an updated memory flow. An activation function updates the hidden-output flow, and a weighted sum of the hidden-output, state, and memory flows produces the output.

Career Highlights

Vanfretti’s listed professional affiliations include International Business Machines Corporation and Rensselaer Polytechnic Institute. These organizations connect his work with both industry and academic research.

Collaborations

Sergio Dorado is identified as a coworker of Vanfretti.

Conclusion

Luigi Vanfretti’s patent applies Laguerre orthogonal basis concepts to recurrent neural network design, linking dynamical-system methods with prediction.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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