Jaques, Natasha

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys

Climate Change and Environmental ImpactArtificial Intelligence Applications

Cited by 336

Automatic identification of artifacts in electrodermal activity data

Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., & Picard, R. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 279

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., & Picard, R. (2020) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 251

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones

Sano, A., Phillips, A. J., Yu, A. Z., McHill, A. W., Taylor, S., Jaques, N., Czeisler, C. A., Klerman, E. B., & Picard, R. W. (2015) · 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Context-Aware Activity Recognition SystemsOnline Learning and Analytics

Cited by 236

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Jaques, N., Ghandeharioun, A., Shen, J. H., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., & Picard, R. (2019) · arXiv

Reinforcement Learning in RoboticsSpeech and dialogue systems

Cited by 126

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 60

Moral Foundations of Large Language Models

Abdulhai, M., Serapio-García, G., Crepy, C., Valter, D., Canny, J., & Jaques, N. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIPsychology of Moral and Emotional Judgment

Cited by 45

Emergent Social Learning via Multi-agent Reinforcement Learning

Ndousse, K., Eck, D., Levine, S., & Jaques, N. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 23

Environment Generation for Zero-Shot Compositional Reinforcement Learning

Gur, I., Jaques, N., Miao, Y., Choi, J., Tiwari, M., Lee, H., & Faust, A. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12