Mila > Team > Dendi Suhubdy

Dendi Suhubdy

Indonesian Canadian American
Student Ph.D.
  • Graduate Student: In Computer Science
  • Research: Hyperparameter algorithms, evolutionary algorithms, neural architectural search, deep learning for natural language processing
  • Email: suhubdyd@iro.umontreal.ca
  • Office: #3248

Summary

Dendi Suhubdy received his B.A from University of Indonesia in 2013, his M.Sc from North Carolina State University. He stayed at MILA for 2 years to do research with Professor Yoshua Bengio. Currently, he is traveling the world and building companies while also finishing his Ph.D. studies in the United States of America.

Papers

  • A Deep Reinforcement Learning Chatbot. Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio. arXiv:1709.02349, 2017. 2nd Best NIPS Demo (pdf) (web page)
  • Fraternal dropout. Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio arXiv:1711.00066, 2017. Accepted to ICLR 2018(pdf) (web page)
  • A Deep Reinforcement Learning Chatbot (Short Version) Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio. 2nd Best NIPS DemoarXiv:1801.06700, 2018. (pdf) (web page)
  • ChatPainter: Improving Text to Image Generation Using Dialogue Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Kahou, Yoshua Bengio arXiv:, 2018. Accepted at an ICLR workshop (pdf)
  • Orı́on :Experiment Version Control for Efficient Hyperparameter Optimization Christos Tsirigotis, Xavier Bouthilier, François Corneau-Tremblay, Dendi Suhubdy, Pascal Lamblin, Frederic Bastien arXiv:, 2018. Submitted to AutoML workshop ICML 2018 (pdf)(code)