Karan Samel
Ph.D. Student



Research Areas:
neuro symbolic reasoning, computer vision, natural language processing, structured prediction


Advisor: Le Song

I primarily work in the intersection of deep learning and logical reasoning for complex machine learning problems. These complex problems are typically multi-modal problems between computer vision and natural language, such as visual question answering. More specifically I investigate the label annotation and computational complexity for methods addressing these problems. I am also broadly interested in large scale structured prediction problems from biological, recommender, and financial systems.