Courville, Aaron

Counterpoint by Convolution

Huang, C.-Z. A., Cooijmans, T., Roberts, A., Courville, A., & Eck, D. (2019) · arXiv

Music Technology and Sound StudiesMusic and Audio Processing

Cited by 100

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Bahdanau, D., de Vries, H., O'Donnell, T. J., Murty, S., Beaudoin, P., Bengio, Y., & Courville, A. (2019) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 96

On the Challenges of Physical Implementations of RBMs

Dumoulin, V., Goodfellow, I., Courville, A., & Bengio, Y. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence

Quantum Computing Algorithms and ArchitectureNeural Networks and Applications

Cited by 46

The Primacy Bias in Deep Reinforcement Learning

Nikishin, E., Schwarzer, M., D'Oro, P., Bacon, P.-L., & Courville, A. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 37

StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling

Shen, Y., Tay, Y., Zheng, C., Bahri, D., Metzler, D., & Courville, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 29

Bigger, Better, Faster: Human-level Atari with human-level efficiency

Schwarzer, M., Obando-Ceron, J., Courville, A., Bellemare, M., Agarwal, R., & Castro, P. S. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9

Detecting semantic anomalies

Ahmed, F., & Courville, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 5

Not All LLM Reasoners Are Created Equal

Hosseini, A., Sordoni, A., Toyama, D., Courville, A., & Agarwal, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

V-STaR: Training Verifiers for Self-Taught Reasoners

Hosseini, A., Yuan, X., Malkin, N., Courville, A., Sordoni, A., & Agarwal, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Forgetting Transformer: Softmax Attention with a Forget Gate

Lin, Z., Nikishin, E., He, X. O., & Courville, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

GitSwarm: Decentralized Compounding Inference

Shah, V., Samanta, A., Dahal, P., Plekhanov, M., Wu, C.-J., Yih, S., Munos, R., Fergus, R., Foerster, J., Salakhutdinov, R., et al. (2026) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

Cited by 0