Tom Sercu

Title: The Innovative Mind of Tom Sercu

Introduction

Tom Sercu is a notable inventor based in New York, NY (US). He has made significant contributions to the field of machine learning and predictive modeling. With a total of 4 patents, Sercu continues to push the boundaries of innovation in technology.

Latest Patents

One of his latest patents is the Wasserstein barycenter model ensembling. This invention involves a method, system, and apparatus for ensembling models that predict different sets of attributes. It includes inputting a set of models, determining a source set of attributes and a target set of attributes using a barycenter with an optimal transport metric, and determining a consensus among the models. Another significant patent is for feature selection using the Sobolev Independence Criterion. This machine learning system implements the Sobolev Independence Criterion (SIC) for feature selection. It processes a dataset of stimuli and responses, generates correctly paired and alternatively paired samples, and determines a witness function to optimize feature importance distribution.

Career Highlights

Tom Sercu is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate on various innovative projects that enhance machine learning capabilities.

Collaborations

Some of his notable coworkers include Youssef Mroueh and Cicero Nogueira Dos Santos. Their collaborative efforts contribute to the advancement of technology and innovation within their field.

Conclusion

Tom Sercu exemplifies the spirit of innovation through his patents and contributions to machine learning. His work continues to influence the industry and inspire future advancements.