Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Olexa Bilaniuk

Olexa Bilaniuk
Alert button

Learning Neural Causal Models with Active Interventions


Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke

Add code
Alert button

Figure 1 for Learning Neural Causal Models with Active Interventions
Figure 2 for Learning Neural Causal Models with Active Interventions
Figure 3 for Learning Neural Causal Models with Active Interventions
Figure 4 for Learning Neural Causal Models with Active Interventions

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing


Oct 30, 2020
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, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio

Add code
Alert button

Figure 1 for COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Figure 2 for COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Figure 3 for COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Figure 4 for COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Neural Causal Models from Unknown Interventions


Oct 02, 2019
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio

Add code
Alert button

Figure 1 for Learning Neural Causal Models from Unknown Interventions
Figure 2 for Learning Neural Causal Models from Unknown Interventions
Figure 3 for Learning Neural Causal Models from Unknown Interventions
Figure 4 for Learning Neural Causal Models from Unknown Interventions

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms


Feb 04, 2019
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher Pal

Add code
Alert button

Figure 1 for A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Figure 2 for A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Figure 3 for A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Figure 4 for A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding


Sep 11, 2018
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio

Add code
Alert button

Figure 1 for Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Figure 2 for Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Figure 3 for Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Figure 4 for Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
* To appear as a Spotlight presentation at NIPS 2018 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Complex Networks


Feb 25, 2018
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal

Add code
Alert button

Figure 1 for Deep Complex Networks
Figure 2 for Deep Complex Networks
Figure 3 for Deep Complex Networks
Figure 4 for Deep Complex Networks

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Nov 07, 2017
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio

Add code
Alert button

Figure 1 for Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Figure 2 for Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Figure 3 for Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Figure 4 for Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Jun 28, 2016
Yoshua Bengio, Benjamin Scellier, Olexa Bilaniuk, Joao Sacramento, Walter Senn

Add code
Alert button

Figure 1 for Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email