Elman Mansimov

I am a Ph.D. student at New York University, where I work with Kyunghyun Cho. I do research in machine learning, in particular neural networks and its various applications (mostly language).

Previously, I did an undergraduate degree in Computer Science at University of Toronto supervised by Ruslan Salakhutdinov. I also did research internships at Google Brain, Facebook AI Research and Apple.


Papers

  • Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
    Jason Lee*, Elman Mansimov*, Kyunghyun Cho
    Empirical Methods in Natural Language Processing (EMNLP), 2018


  • Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
    Yuhuai Wu*, Elman Mansimov*, Shun Liao, Roger Grosse, Jimmy Ba
    Neural Information Processing Systems (NeurIPS), 2017


  • Generating Images from Captions with Attention
    Elman Mansimov, Emilio Parisotto, Jimmy Ba, Ruslan Salakhutdinov
    International Conference on Learning Representations (ICLR), 2016


  • Unsupervised Learning of Video Representations using LSTMs
    Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
    International Conference on Machine Learning (ICML), 2015