Olexa Bilaniuk

24 papers A* 3C 2Misc 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning Equivalence Classes of Bayesian Network Structures with GFlowNet. Trans. Mach. Learn. Res. Michelle Liu, Zhaocheng Zhu, Olexa Bilaniuk, Emmanuel Bengio
2024	J	`jnl`	Introducing Milabench: Benchmarking Accelerators for AI. CoRR Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa Bilaniuk, Fabrice Normandin, Arnaud Bergeron, Bruno Carrez, Guillaume Alain, Soline Blanc, Frédéric Osterrath, Joseph Viviano, Roger Creus-Castanyer Darshan Patil, Rabiul Awal, Le Zhang
2023	—	`conf`	BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. ASP-DAC MohammadHossein AskariHemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David
2023	J	`jnl`	BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. CoRR MohammadHossein AskariHemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David
2023	J	`jnl`	Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio
2021	J	`jnl`	Learning Neural Causal Models with Active Interventions. CoRR Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR 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
2021	C	`conf`	RISC-V Barrel Processor for Deep Neural Network Acceleration. ISCAS MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David
2020	A*	`conf`	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. ICLR Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2020	J	`jnl`	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR 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
2020	J	`jnl`	Predicting Infectiousness for Proactive Contact Tracing. CoRR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. 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, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020	Misc	`conf`	RISC-V Barrel Processor for Accelerator Control. FCCM MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David
2019	J	`jnl`	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. CoRR Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2019	C	`conf`	Bit-Slicing FPGA Accelerator for Quantized Neural Networks. ISCAS Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David
2019	J	`jnl`	Learning Neural Causal Models from Unknown Interventions. CoRR Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio
2018	J	`jnl`	A fast and robust homography scheme for real-time planar target detection. J. Real Time Image Process. Hamid Bazargani, Olexa Bilaniuk, Robert Laganière
2018	—	`conf`	Deep Complex Networks. ICLR (Poster) Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2018	A*	`conf`	Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. NeurIPS Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
2018	J	`jnl`	Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
2017	J	`jnl`	Deep Complex Networks. CoRR Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2017	J	`jnl`	Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. CoRR Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio
2016	J	`jnl`	Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible. CoRR Yoshua Bengio, Benjamin Scellier, Olexa Bilaniuk, João Sacramento, Walter Senn
2014	—	`conf`	Fast LBP Face Detection on Low-Power SIMD Architectures. CVPR Workshops Olexa Bilaniuk, Ehsan Fazl Ersi, Robert Laganière, Christina Xu, Daniel Laroche, Craig Moulder
2014	—	`conf`	Fast Target Recognition on Mobile Devices: Revisiting Gaussian Elimination for the Estimation of Planar Homographies. CVPR Workshops Olexa Bilaniuk, Hamid Bazargani, Robert Laganière