Olexa Bilaniuk

According to our database, Olexa Bilaniuk authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Causal Structure Discovery from Interventions.

Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio

Trans. Mach. Learn. Res., 2023

BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU.

Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2021

Learning Neural Causal Models with Active Interventions.

Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke

CoRR, 2021

RISC-V Barrel Processor for Deep Neural Network Acceleration.

MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Predicting Infectiousness for Proactive Contact Tracing.

Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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 L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio

CoRR, 2020

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.

Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal

Proceedings of the 8th International Conference on Learning Representations, 2020

RISC-V Barrel Processor for Accelerator Control.

MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David

Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019

Learning Neural Causal Models from Unknown Interventions.

Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio

CoRR, 2019

Bit-Slicing FPGA Accelerator for Quantized Neural Networks.

Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

A fast and robust homography scheme for real-time planar target detection.

Hamid Bazargani, Olexa Bilaniuk, Robert Laganière

J. Real Time Image Process., 2018

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding.

Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio

CoRR, 2018

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding.

Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Complex Networks.

Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks.

Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio

CoRR, 2017

Deep Complex Networks.

Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal

CoRR, 2017

2016

Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible.

Yoshua Bengio, Benjamin Scellier, Olexa Bilaniuk, João Sacramento, Walter Senn

CoRR, 2016

2014

Fast LBP Face Detection on Low-Power SIMD Architectures.

Olexa Bilaniuk, Ehsan Fazl Ersi, Robert Laganière, Christina Xu, Daniel Laroche, Craig Moulder

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Fast Target Recognition on Mobile Devices: Revisiting Gaussian Elimination for the Estimation of Planar Homographies.

Olexa Bilaniuk, Hamid Bazargani, Robert Laganière

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014