Location History:
- Bavaria, DE (2017)
- Munich, DE (2020)
Company Filing History:
Years Active: 2017-2020
Title: Felix Weninger: Innovator in Neural Networks and Signal Processing
Introduction
Felix Weninger is a prominent inventor based in Bavaria, Germany. He has made significant contributions to the field of signal processing and neural networks. With a total of 3 patents to his name, Weninger is recognized for his innovative approaches to transforming input signals and separating source signals.
Latest Patents
Weninger's latest patents include groundbreaking methods in neural networks. One of his notable inventions is a method for transforming input signals by defining a model specified by constraints and a set of model parameters. This model undergoes an iterative inference procedure, which is unfolded into layers, allowing for a trained neural network to transform input signals into output signals effectively.
Another significant patent focuses on source signal separation using discriminatively-trained non-negative matrix factorization. This method estimates source signals from a mixture by training both an analysis model and a reconstruction model. The analysis model provides an analysis representation of the mixture, while the reconstruction model estimates the source signals, utilizing linear basis representations for both analysis and reconstruction.
Career Highlights
Felix Weninger is currently employed at Mitsubishi Electric Research Laboratories, Inc. His work at this esteemed organization has allowed him to push the boundaries of technology in signal processing and neural networks. His innovative contributions have garnered attention in the research community and beyond.
Collaborations
Weninger has collaborated with notable colleagues, including John R. Hershey and Jonathan Le Roux. These collaborations have further enriched his research and development efforts, leading to advancements in their respective fields.
Conclusion
Felix Weninger is a distinguished inventor whose work in neural networks and signal processing has made a significant impact. His innovative patents and collaborations highlight his commitment to advancing technology in these areas.
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