Company Filing History:
Years Active: 2025
Title: Innovations by Laszlo Szoke in Neural Network Training
Introduction
Laszlo Szoke is a prominent inventor based in Budapest, Hungary. He has made significant contributions to the field of neural networks, particularly in the area of training style encoders. His innovative approach has the potential to enhance the understanding of driving styles through advanced technology.
Latest Patents
Laszlo Szoke holds a patent for a "Method and device for training a style encoder of a neural network and method for generating a driving style representation representing a driving style of a driver." This patent describes a method for training a style encoder of a neural network. The process involves compressing sensory input variables, which represent the movement of a system and its surroundings, into an abstract driving situation representation within a latent space of the neural network. The trained situation encoder is utilized to achieve this compression. Additionally, the untrained style encoder compresses sensory input variables into a driving style representation. The driving style and situation representations are then decompressed to output variables using a style decoder, with the structure of the style encoder being adjusted until the output variables accurately represent the movement. This innovative method has the potential to revolutionize how driving styles are analyzed and understood.
Career Highlights
Laszlo Szoke is currently employed at Robert Bosch GmbH, where he continues to develop and refine his innovative ideas. His work at Bosch allows him to collaborate with leading experts in the field and contribute to cutting-edge projects that push the boundaries of technology.
Collaborations
Laszlo has worked alongside talented colleagues such as Peter Lakatos and Gabor Kovacs. Their collaborative efforts have fostered an environment of innovation and creativity, leading to advancements in their respective fields.
Conclusion
Laszlo Szoke's contributions to neural network training and driving style representation exemplify the impact of innovation in technology. His patent and ongoing work at Robert Bosch GmbH highlight his commitment to advancing the field and improving our understanding of complex systems.