Vibhor Gupta

Title: Innovations of Vibhor Gupta in Neural Networks

Introduction

Vibhor Gupta is an accomplished inventor based in Noida, India. He has made significant contributions to the field of neural networks, particularly in handling variable-dimensional time series data. His innovative approach addresses the challenges posed by multi-sensor time series modeling.

Latest Patents

Vibhor Gupta holds a patent for his work titled "Neural networks for handling variable-dimensional time series data." This patent focuses on the limitations of existing neural network approaches that assume a fixed input dimension for multi-sensor time series. His invention allows for robust inference in scenarios where different instances of the same device may have varying combinations of installed sensors. The neural network architecture he developed incorporates zero-shot transfer learning, enabling it to generalize across unseen combinations of sensors during testing. This is achieved through conditioning layers that utilize a 'conditioning vector' to summarize the learned sensor embedding vectors corresponding to the available sensors in the time series.

Career Highlights

Vibhor Gupta is currently employed at Tata Consultancy Services Limited, where he continues to innovate and contribute to advancements in technology. His work has garnered attention for its practical applications in various industries that rely on sensor data.

Collaborations

Some of his notable coworkers include Jyoti Narwariya and Pankaj Malhotra, who collaborate with him on various projects within the company.

Conclusion

Vibhor Gupta's contributions to neural networks and time series data modeling represent a significant advancement in the field. His innovative patent showcases his ability to tackle complex challenges in technology, making him a valuable asset in the realm of data science and engineering.