Experience
    Education
    Bio
    Interests
    My current research topics are related to representation learning and deep learning, scalable object detection, multimodal learning, learning to disentangle factors of variation in sensory data, visual analogy-making, and learning compositional programs. Broadly I am interested in neural architectures that can automatically learn feature representations with strong generalization properties in a data-efficient manner.