Yamuna Krishnamurthy
machine learning (3353) deep learning (1107) data visualization (630) data mining (555) nyu (169) reinforcement learning (136) information retrieval (56) distributed computing (44) yamuna krishnamurthy (2)
I am a PhD candidate in the Center for Reliable Machine Learning at Royal Holloway University of London working with Professor Chris Watkins.
Prior to this I was a research associate in VIDA Lab at NYU Tandon School of Engineering where I worked with Professor Juliana Freire on DARPA Memex and D3M projects. Before joining NYU, I did a summer internship with Microsoft Research and Cloud AI Group in Redmond.
My areas of interest include machine learning, deep learning and reinforcement learning. More specifically my current research is in modular deep learning with goals of learning from less data, ensuring explainability and enabling transfer learning while constantly striving towards the holy grail of artificial general intelligence.
Yamuna Krishnamurthy