I’m a Ph.D. student at University of Montreal, where I investigate the integration of deep learning models with reinforcement learning methods – research which now falls under the umbrella term “Deep Reinforcement Learning”. In particular, my current research at MILA focuses on dialogue and question answering systems. I’m jointly supervised by Aaron Courville and Yoshua Bengio, and I collaborate extensively with Joelle Pineau at McGill University.
Before starting my PhD, I obtained my master degree MSc. Machine Learning in 2014 from University College of London. Prior to that, I studied theoretical (pure) mathematics and statistics at the University of Copenhagen.
See my personal website for more information: http://www.iulianserban.com
- Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. Chia-Wei Liu, Ryan Lowe, Iulian V. Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau. Under review for ACL 2016.
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, Yoshua Bengio. Under review for ACL 2016.
- Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, Joelle Pineau. AAAI 2016.
- The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau. SIGDIAL 2015.
See arXiv for a more complete list of publications: http://arxiv.org/find/cs/1/au:+Serban_I/0/1/0/all/0/1
See GitHub for open source code projects: https://github.com/julianser
I’m happy to co-supervise and collaborate with undergraduate students. Motivated students with a strong record in computer science, mathematics or statistics are very welcome to contact me.
iulian [DOT] vlad [DOT] serban [AT] umontreal [DOT] ca