Nishant Prabhu

M. Tech

Reinforcement Learning Self-supervised representation learning for vision Explainable AI

“I graduated from IITM with a bachelor’s degree in mechanical engineering and integrated master’s in data science. At RBCDSAI, I worked with Prof Balaraman Ravindran on a method to explain deep RL agents using knowledge distillation and self-attention networks. In general, I like to work on representation learning methods for images with few or no labels, often involving self-supervision algorithms. Another interest of mine is explainable AI, which involves post-hoc methods for black-box models as well as models that incorporate reasoning in learning.”