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For the Inventor, By the Inventor

Austin, TX, United States of America

Venkatanathan Varadarajan

LinkedIn
USPTO Granted Patents = 14 


Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 25(Granted Patents)


Location History:

  • Bellevue, WA (US) (2021)
  • Austin, TX (US) (2019 - 2023)
  • Seattle, WA (US) (2022 - 2024)

Company Filing History:

goldMedal14 out of 11,294 
 
Oracle International Corporation
 patents

Years Active: 2019-2024

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):
1. 11989657 - Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms (2024-05-21),
2. 11868854 - Using metamodeling for fast and accurate hyperparameter optimization of machine learning and deep learning models (2024-01-09),
3. 11790242 - Mini-machine learning (2023-10-17),
4. 11720822 - Gradient-based auto-tuning for machine learning and deep learning models (2023-08-08),
5. 11620568 - Using hyperparameter predictors to improve accuracy of automatic machine learning model selection (2023-04-04),
6. 11562178 - Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning (2023-01-24),
7. 11544494 - Algorithm-specific neural network architectures for automatic machine learning model selection (2023-01-03),
8. 11451670 - Anomaly detection in SS7 control network using reconstructive neural networks (2022-09-20),
9. 11429895 - Predicting machine learning or deep learning model training time (2022-08-30),
10. 11176487 - Gradient-based auto-tuning for machine learning and deep learning models (2021-11-16),
11. 11120368 - Scalable and efficient distributed auto-tuning of machine learning and deep learning models (2021-09-14),
12. 10630957 - Scalable distributed computation framework for data-intensive computer vision workloads (2020-04-21),
13. 10529049 - Efficient parallel algorithm for integral image computation for many-core CPUs (2020-01-07),
14. 10469822 - Scalable distributed computation framework for data-intensive computer vision workloads (2019-11-05),

Title: The Innovative Mind of Venkatanathan Varadarajan: Transforming Machine Learning

Introduction: Venkatanathan Varadarajan is an accomplished inventor based in Austin, TX, known for his groundbreaking contributions in the field of machine learning. With a remarkable portfolio of 14 patents, Varadarajan continues to push the boundaries of technology.

Latest Patents: Among his latest innovations are two significant patents that showcase his expertise. The first patent, titled "Automated Machine Learning Pipeline for Timeseries Datasets Utilizing Point-Based Algorithms," introduces a method wherein a computer generates and evaluates various preprocessor configurations for a window preprocessor. This technology optimally transforms training timeseries datasets for machine learning models, enhancing the model's performance in real-time processing environments.

The second patent, "Using Metamodeling for Fast and Accurate Hyperparameter Optimization of Machine Learning and Deep Learning Models," presents techniques to train regressors that predict the effectiveness of machine learning models based on new hyperparameters and datasets. This innovative approach simplifies hyperparameter optimization, making machine learning processes more efficient.

Career Highlights: Venkatanathan Varadarajan currently works at Oracle International Corporation, a leader in cloud computing and software solutions. His expertise in machine learning has made him a valuable asset in his company. His extensive experience and successful track record have solidified his reputation as a leading inventor in the tech industry.

Collaborations: Varadarajan collaborates with notable colleagues, including Nipun Agarwal and Sam Idicula, with whom he shares ideas and works on innovative projects. Together, they contribute to advancements in machine learning algorithms and systems.

Conclusion: Venkatanathan Varadarajan exemplifies the spirit of innovation in the technology sector. With a focus on enhancing machine learning processes through his patents, he plays a crucial role in shaping the future of artificial intelligence. His ongoing work at Oracle International Corporation and collaborations with talented peers further strengthen his impact in the field.

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