Rutgers Machine Learning Group

   Sungjin Ahn
   Assistant Professor

  • Our paper on Sequential Neural Processes is in arXiv! [pdf][project]
  • I'm teaching Pattern Recognition in Fall 2019
  • Our paper, Bayesian Model-Agnostic Meta-Learning, is accepted to NIPS 18 as a spotlight!

About Me
  • I'm an Assistant Professor at the Department of Computer Science at Rutgers University where I lead the Rutgers Machine Learning Group. My research focus, probabilistic agent learning, centers around (1) deep learning, (2) probabilistic inference, and (3) cognitive/neuroscience-inspired learning algorithms to make an AI agent that can learn the model of the complex and interactive world like humans. 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. Then, I joined Rutgers University in Fall 2018 after having a year at Element AI.

  • About Artificial Intelligence Research at Rutgers

  • CBIM 9, 617 Bowser Rd., Piscataway, NJ, 08854
  • sjn.[my_last_name] at

Research Focuses

For probabilistic agent learningI'm currently focusing on the following problems
    • Probabilistic Generative Models
    • Representation Learning
    • Meta Learning
using the following methodologies
    • Deep Learning
    • Bayesian Learning
    • Reinforcement Learning
    • Cognitive/neuroscience-inspired Learning