Alert button
Picture for Aaron Courville

Aaron Courville

Alert button

Deep Generative Modeling of LiDAR Data

Dec 17, 2018
Lucas Caccia, Herke van Hoof, Aaron Courville, Joelle Pineau

Figure 1 for Deep Generative Modeling of LiDAR Data
Figure 2 for Deep Generative Modeling of LiDAR Data
Figure 3 for Deep Generative Modeling of LiDAR Data
Figure 4 for Deep Generative Modeling of LiDAR Data
Viaarxiv icon

Systematic Generalization: What Is Required and Can It Be Learned?

Nov 30, 2018
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron Courville

Figure 1 for Systematic Generalization: What Is Required and Can It Be Learned?
Figure 2 for Systematic Generalization: What Is Required and Can It Be Learned?
Figure 3 for Systematic Generalization: What Is Required and Can It Be Learned?
Figure 4 for Systematic Generalization: What Is Required and Can It Be Learned?
Viaarxiv icon

Planning in Dynamic Environments with Conditional Autoregressive Models

Nov 25, 2018
Johanna Hansen, Kyle Kastner, Aaron Courville, Gregory Dudek

Figure 1 for Planning in Dynamic Environments with Conditional Autoregressive Models
Figure 2 for Planning in Dynamic Environments with Conditional Autoregressive Models
Viaarxiv icon

Representation Mixing for TTS Synthesis

Nov 24, 2018
Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron Courville

Figure 1 for Representation Mixing for TTS Synthesis
Figure 2 for Representation Mixing for TTS Synthesis
Figure 3 for Representation Mixing for TTS Synthesis
Figure 4 for Representation Mixing for TTS Synthesis
Viaarxiv icon

Harmonic Recomposition using Conditional Autoregressive Modeling

Nov 18, 2018
Kyle Kastner, Rithesh Kumar, Tim Cooijmans, Aaron Courville

Figure 1 for Harmonic Recomposition using Conditional Autoregressive Modeling
Figure 2 for Harmonic Recomposition using Conditional Autoregressive Modeling
Viaarxiv icon

Blindfold Baselines for Embodied QA

Nov 12, 2018
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron Courville

Figure 1 for Blindfold Baselines for Embodied QA
Figure 2 for Blindfold Baselines for Embodied QA
Figure 3 for Blindfold Baselines for Embodied QA
Viaarxiv icon

Improving Explorability in Variational Inference with Annealed Variational Objectives

Oct 26, 2018
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron Courville

Figure 1 for Improving Explorability in Variational Inference with Annealed Variational Objectives
Figure 2 for Improving Explorability in Variational Inference with Annealed Variational Objectives
Figure 3 for Improving Explorability in Variational Inference with Annealed Variational Objectives
Figure 4 for Improving Explorability in Variational Inference with Annealed Variational Objectives
Viaarxiv icon

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

Oct 22, 2018
Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville

Figure 1 for Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Figure 2 for Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Figure 3 for Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Figure 4 for Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Viaarxiv icon

On the Spectral Bias of Neural Networks

Oct 17, 2018
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron Courville

Figure 1 for On the Spectral Bias of Neural Networks
Figure 2 for On the Spectral Bias of Neural Networks
Figure 3 for On the Spectral Bias of Neural Networks
Figure 4 for On the Spectral Bias of Neural Networks
Viaarxiv icon