Company Filing History:
Years Active: 2022
Title: The Innovations of Benjamin Hilprecht
Introduction
Benjamin Hilprecht is a notable inventor based in Mannheim, Germany. He has made significant contributions to the field of machine learning and data processing. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of generative models.
Latest Patents
Hilprecht's latest patents include "Accurately identifying members of training data in variational autoencoders by reconstruction error." This patent describes a system that incorporates a machine learning model and a programmable processor. The model receives data, generates a continuous probability distribution, samples a latent variable, and reconstructs data from these samples. The programmable processor computes a reconstruction error to determine if specific records were used in training the model.
Another significant patent is "Computer systems for detecting training data usage in generative models." This invention outlines methods for detecting training data for generative models. The system assesses generative model sample data and test samples to determine the probability that the generative model was trained with specific test samples based on their proximity.
Career Highlights
Hilprecht is currently employed at SAP SE, where he continues to innovate in the realm of machine learning and data analysis. His work at SAP SE has allowed him to apply his inventions in practical applications, contributing to advancements in technology.
Collaborations
Some of his notable coworkers include Daniel Bernau and Martin Haerterich. Their collaboration has fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies.
Conclusion
Benjamin Hilprecht's contributions to machine learning and data processing are noteworthy. His patents reflect a commitment to improving the accuracy of generative models, showcasing his expertise and innovative spirit.