Vincent Michalski
Vincent Michalski
Ph.D. candidate at Université de Montréal
Verified email at - Homepage
TitleCited byYear
Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
Recurrent neural networks for emotion recognition in video
S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
V Michalski, R Memisevic, K Konda
Advances in neural information processing systems, 1925-1933, 2014
A deep reinforcement learning chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
arXiv preprint arXiv:1709.02349, 2017
Ratm: Recurrent attentive tracking model
S Ebrahimi Kahou, V Michalski, R Memisevic, C Pal, P Vincent
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
The “something something” video database for learning and evaluating visual common sense
R Goyal, SE Kahou, V Michalski, J Materzynska, S Westphal, H Kim, ...
2017 IEEE International Conference on Computer Vision (ICCV), 5843-5851, 2017
The role of spatio-temporal synchrony in the encoding of motion
KR Konda, R Memisevic, V Michalski
Proc. of International Conference on Learning Representations, 2014
ChatPainter: Improving Text to Image Generation using Dialogue
S Sharma, D Suhubdy, V Michalski, SE Kahou, Y Bengio
arXiv preprint arXiv:1802.08216, 2018
Figureqa: An annotated figure dataset for visual reasoning
SE Kahou, V Michalski, A Atkinson, A Kadar, A Trischler, Y Bengio
arXiv preprint arXiv:1710.07300, 2017
A Deep Reinforcement Learning Chatbot (Short Version)
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
arXiv preprint arXiv:1801.06700, 2018
The Octopus Approach to the Alexa Competition: A Deep Ensemble-based Socialbot
IV Serban, C Sankar, ZL Saizheng Zhang, S Subramanian, T Kim, ...
Alexa Prize Proceedings, 2017
Neural Networks for Motion Understanding
V Michalski
Department for Computer Science, Goethe-University Frankfurt, 2013
Towards Deep Conversational Recommendations
R Li, SE Kahou, H Schulz, V Michalski, L Charlin, C Pal
Advances in Neural Information Processing Systems, 9748-9758, 2018
Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations
A Mahesh, M Mudigonda, SK Kim, K Kashinath, S Kahou, V Michalski, ...
AGU Fall Meeting Abstracts, 2017
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