Posts by Category

HAAI

Communicating with Computers

The vision of this project (under the DARPA CwC grant) is to build smart machines that enable “Artificial Intelligence” agents and humans to interact seamles...

Knowledge-based Learning

Knowledge-rich approaches to learning and sequential decision-making try to alleviate the limitations of data-driven techniques caused by noise, stochastic...

Closing the loop

The crux of human-allied smart machines lie in their capability to communicate back to the human, be it for sharing knowledge, for querying additional guidan...

applications

Natural Language Processing

Natural language processing is a hard task for traditional machine learning models, since they tend to ignore the relationships between the sentences, words,...

efficient-starai

Boosting

Statistical Relational Learning models combine the representational power of first-order logic with the ability of probability theory to handle uncertainity...

Scaling

We develop methodologies for fast approximate counting for scalable Statistical Relational AI. In the age of ‘Big Data’, scalability is one of the key challe...

Lifted Continuous Inference

Continuous values are common in the real world, but in traditional graphical model, inference with continuous variable may require computing integals of pote...

Lifted Deep Models

Relational Connectionist Models bring together the complementary strengths of scalability and explainability. Moreover, considering relational aspect of data...

precision-health

Adverse Drug-Events

With the increase in the number of drug discoveries and thus the data associated with each drug, detecting when these new drugs (and the old drugs) with reac...

Cardia

The Coronary Artery Risk Development in Young Adults (CARDIA) study is to identify the risk factors in early life that have influence on the development of c...

Automatic Operation Notes

With the explosion in the volume of medical information, there is the promise that patient care can be managed more precisely based on automatic extraction a...

Active elicitation of lab tests

The high level idea of this project is to actively elicit features for the most useful instances in order to build a sample efficient predictive model. We co...

Survey data

Survey data can be a rich source of information about non-clinical risk factors that could potentially have a considerable influence on the medical condition...

research-highlights

Nandini Ramanan: “Precision Health”

less than 1 minute read

We aim to bridge the gap between the machine learning community and the existing applications to healthcare. Our work involves developing efficient algorithm...