Bengio, Yoshua

Taking on the curse of dimensionality in joint distributions using neural networks

Bengio, S., & Bengio, Y. (2000) · IEEE Transactions on Neural Networks

Bayesian Modeling and Causal InferenceNeural Networks and Applications

Cited by 115

CACHE (Critical Assessment of Computational Hit-finding Experiments): A public–private partnership benchmarking initiative to enable the development of computational methods for hit-finding

Ackloo, S., Al-awar, R., Amaro, R. E., Arrowsmith, C. H., Azevedo, H., Batey, R. A., Bengio, Y., Betz, U. A. K., Bologa, C. G., Chodera, J. D., et al. (2022) · Nature Reviews Chemistry

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 112

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Chevalier-Boisvert, M., Bahdanau, D., Lahlou, S., Willems, L., Saharia, C., Nguyen, T. H., & Bengio, Y. (2018) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 104

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yang, Z., Qi, P., Zhang, S., Bengio, Y., Cohen, W. W., Salakhutdinov, R., & Manning, C. D. (2018) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 97

Hyena Hierarchy: Towards Larger Convolutional Language Models

Poli, M., Massaroli, S., Nguyen, E., Fu, D. Y., Dao, T., Baccus, S., Bengio, Y., Ermon, S., & Ré, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 96

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

Decision trees do not generalize to new variations

Bengio, Y., Delalleau, O., & Simard, C. (2010) · Computational Intelligence

Data Mining Algorithms and ApplicationsMachine Learning and Algorithms

Cited by 89

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Nguyen, E., Poli, M., Faizi, M., Thomas, A., Wornow, M., Birch-Sykes, C., Massaroli, S., Patel, A., Rabideau, C., Bengio, Y., et al. (2023) · Advances in Neural Information Processing Systems 36

Genomics and Phylogenetic StudiesGenomic variations and chromosomal abnormalities

Cited by 66

Model evaluation for extreme risks

Shevlane, T., Farquhar, S., Garfinkel, B., Phuong, M., Whittlestone, J., Leung, J., Kokotajlo, D., Marchal, N., Anderljung, M., Kolt, N., et al. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 66

Coordination among neural modules through a shared global workspace

Goyal, A., Didolkar, A., Lamb, A., Badola, K., Ke, N. R., Rahaman, N., Binas, J., Blundell, C., Mozer, M., & Bengio, Y. (2021) · arXiv

Neural Networks and ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 59

Small-GAN: Speeding Up GAN Training Using Core-sets

Sinha, S., Zhang, H., Goyal, A., Bengio, Y., Larochelle, H., & Odena, A. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisStochastic Gradient Optimization Techniques

Cited by 56

Identifying indicators of consciousness in AI systems

Butlin, P., Long, R., Bayne, T., Bengio, Y., Birch, J., Chalmers, D., Constant, A., Deane, G., Elmoznino, E., Fleming, S. M., et al. (2026) · Trends in Cognitive Sciences

Philosophy and Theoretical SciencePsychiatry, Mental Health, Neuroscience

Cited by 56

Learning Anonymized Representations with Adversarial Neural Networks

Feutry, C., Piantanida, P., Bengio, Y., & Duhamel, P. (2018) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 52

Improving and generalizing flow-based generative models with minibatch optimal transport

Tong, A., Fatras, K., Malkin, N., Huguet, G., Zhang, Y., Rector-Brooks, J., Wolf, G., & Bengio, Y. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 50

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Ahmed, O., Träuble, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., & Bauer, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 50

Adversarial Domain Adaptation for Stable Brain-Machine Interfaces

Farshchian, A., Gallego, J. A., Cohen, J. P., Bengio, Y., Miller, L. E., & Solla, S. A. (2018) · arXiv

EEG and Brain-Computer InterfacesDomain Adaptation and Few-Shot Learning

Cited by 48

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

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Bengio, Y., Cohen, M., Fornasiere, D., Ghosn, J., Greiner, P., MacDermott, M., Mindermann, S., Oberman, A., Richardson, J., Richardson, O., et al. (2025) · SuperIntelligence - Robotics - Safety & Alignment

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 41

GEO-Bench: Toward Foundation Models for Earth Monitoring

Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E., Kerner, H., Lütjens, B., Irvin, J., Dao, D., Alemohammad, H., Drouin, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 40

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Zador, A., Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., et al. (2022) · arXiv

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 34

Computing Power and the Governance of Artificial Intelligence

Sastry, G., Heim, L., Belfield, H., Anderljung, M., Brundage, M., Hazell, J., O'Keefe, C., Hadfield, G. K., Ngo, R., Pilz, K., et al. (2024) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 26

Towards Standardization of Data Licenses: The Montreal Data License

Benjamin, M., Gagnon, P., Rostamzadeh, N., Pal, C., Bengio, Y., & Shee, A. (2019) · arXiv

Digitalization, Law, and RegulationLaw, AI, and Intellectual Property

Cited by 26

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Anwar, U., Saparov, A., Rando, J., Paleka, D., Turpin, M., Hase, P., Lubana, E. S., Jenner, E., Casper, S., Sourbut, O., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 19

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16