Olexa Bilaniuk

Olexa Bilaniuk
Research Developer, Student M.Sc., Innovation, Development and Technologies
Olexa Bilaniuk
Olexa Bilaniuk

I am a Masters student at the MILA, currently supervised by Roland Memisevic and Yoshua Bengio. I previously graduated from the Computer Engineering program at the University of Ottawa, where I also worked as a Research Assistant in the VIVA lab in Computer Vision under Robert Laganière.

My interests include Convolutional Neural Networks (CNNs) for vision tasks, and how to shrink their number of parameters and their size. Binary Nets (neural networks with 1-bit activations and weights) are especially attractive to me. Recently I also acquired an interest in sound and speech synthesis using RNNs, and low-dimensional visualizations of gradient descent in high dimensions.

Publications

2020-10

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge... (9 more)
arXiv preprint arXiv:2010.16004
(2020-10-30)
arxiv.orgPDF

2020-05

RISC-V Barrel Processor for Accelerator Control
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
FCCM 2020
(2020-05-01)
ieeexplore.ieee.org

2020-04

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sebastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
ICLR 2020
(2020-04-30)
iclr.cc

2019-09

Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-25)
openreview.netPDF
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stephan Bauer, Hugol Larochelle, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1910.01075
(2019-09-25)
ui.adsabs.harvard.eduPDF
Retrieving Signals with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-14)
openreview.netPDF

2019-06

Applications of complex numbers to deep neural networks
(venue unknown)
(2019-06-19)
papyrus.bib.umontreal.ca

2019-05

Bit-Slicing FPGA Accelerator for Quantized Neural Networks
Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
ISCAS 2019
(2019-05-26)
doi.org

2019-01

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
arXiv preprint arXiv:1901.10912
(2019-01-30)
export.arxiv.orgPDF

2018-12

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael Mozer, Chris Pal and Yoshua Bengio
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF

2018-09

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1809.03702
(2018-09-11)
arxiv.orgPDF

2018-02

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1711.02326
(2018-02-15)
ui.adsabs.harvard.eduPDF
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio and Christopher J Pal
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF

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