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AI Songsmith Cranks Out Surprisingly Catchy Tunes

Nov. 30, 2016

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Natasha Jaques

Former Research Assistant

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Google’s songwriting program learns by combining statistical learning and explicit rules—the same approach may make it easier for engineers to shape other AI programs.

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Natasha Jaques Dissertation Defense

Towards Social and Affective Artificial IntelligenceSocial learning is a crucial component of human intelligence, allowing us to rapidly ad…

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Natasha Jaques wins AAAC Outstanding PhD Dissertation Award 2021

Natasha Jaques, an alum of the Affective Computing group, has won this year's award for her thesis: "Social and Affective Machine Learning"

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EDA Explorer

An online tool for visualization and analysis of Electrodermal Activity data.

Publication Research

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control

Jaques, N., Gu, S., Bahdanau, D., Hernandez-Lobato, J., Turner, R., and Eck, D. "Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-Control," International Conference on Machine Learning (ICML), Sydney, Australia, August 2017