Bengaluru, India

Aditya Nori

This inventor holds 4 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2011-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aditya Nori. Retrieved from https://idiyas.com/inventor/aditya-nori

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 50.0

Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2011-2015

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4 patents (USPTO):Explore Patents

Title: Aditya Nori: Innovator in Data Modeling and Probabilistic Inference

Introduction

Aditya Nori is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data modeling and probabilistic inference. With a total of 4 patents to his name, Nori is recognized for his innovative approaches to complex data processes.

Latest Patents

One of Nori's latest patents is titled "Modeling a data generating process using dyadic Bayesian models." This invention provides a method and system for modeling a data generating process. The method includes generating a dyadic Bayesian model that consists of a pair of probabilistic functions representing a prior distribution and a sampling distribution. It also involves modeling a data generating process based on the dyadic Bayesian model using observed data. The process includes generating a learner object for the dyadic Bayesian model and training it with the learner object based on the observed data to produce a trained dyadic Bayesian model. Furthermore, the method generates a posterior distribution over parameters based on the trained model and predicts outcomes of observable variables based on the posterior predictive distribution.

Another notable patent is "Program synthesis with existentially and universally quantified belief propagation using probabilistic inference." This invention introduces a quantified belief propagation (QBP) algorithm that receives an existentially quantified boolean formula (QBF) as input. The algorithm constructs a tripartite graph that includes nodes representing existentially and universally quantified variables, as well as sub-formula nodes. The method finds a set of boolean values for the existentially quantified variables by passing messages between the nodes in the graph.

Career Highlights

Aditya Nori is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data modeling and probabilistic inference. His work has garnered attention for its practical applications in various fields.

Collaborations

Nori has collaborated with notable colleagues, including Kapil Vaswani and Sriram Kottarakurichi Rajamani. Their combined expertise contributes to the advancement of technology and innovation within their projects.

Conclusion

Aditya Nori is a distinguished inventor whose work in data modeling and probabilistic inference has led to significant advancements in technology. His contributions are shaping the future of data analysis and modeling processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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