Prasanna Sattigeri

Research Staff Member

I am a researcher at IBM Research AI and my broad research interests include machine learning, deep learning and signal processing. My current work focuses on exploring structure in the data using generative models and developing algorithms that are data efficient. My research also involves developing theory and practical systems for impactful machine learning applications that demand constraints such as robustness, fairness and interpretability.

Top Work

New tricks from old dogs: multi-source transfer learning

New tricks from old dogs: multi-source transfer learning

Transfer Learning

Publications with the MIT-IBM Watson AI Lab

New tricks from old dogs: multi-source transfer learning
New tricks from old dogs: multi-source transfer learning
 
Co-regularized Alignment for Unsupervised Domain Adaptation
Co-regularized Alignment for Unsupervised Domain Adaptation