Rutgers Machine Learning Group

   Sungjin Ahn
   Assistant Professor
 
   
   



About Me
  • I'm an Assistant Professor at the Department of Computer Science at Rutgers University. I lead the Rutgers Machine Learning Group. My research interest includes deep learning, Bayesian learning, deep reinforcement learning, and their connection to cognitive / neuroscience-inspired algorithms. My long-term goal is to develop these methodologies to make an AI agent that can learn like humans in complex environments. I received my Ph.D. at the University of California, Irvine on the study of scalable approximate Bayesian inference under the supervision of Prof. Max WellingI did my postdoc working on deep learning at MILA under Prof. Yoshua Bengio

Contact   
  • CBIM 9, 617 Bowser Rd., Piscataway, NJ, 08854
  • sjn.lastname at gmail.com

News!
  • Our paper, Bayesian Model-Agnostic Meta-Learning, is accepted to NIPS 18. It is a spotlight!
  • From September 1, I joined the Department of Computer Science at Rutgers University as a tenure-track Assistant Professor. 

Research Focuses
  • I'm currently focusing on the following problems
    • Generative Models
    • Representation Learning
    • Meta-Learning
  • Using the following methodologies
    • Deep Learning
    • Bayesian Learning
    • Reinforcement Learning
    • Cognitive/neuroscience-inspired Learning 
  • To apply to
    • Agent & Robot Learning