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We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Our researchers drive advancements in computer science through both fundamental and applied research.
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We regularly open-source projects with the broader research community and apply our developments to Google products.
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Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Supporting the next generation of researchers through a wide range of programming.
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Participating in the academic research community through meaningful engagement with university faculty.
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Careers
Blog

Massimo Mascaro

Massimo Mascaro

I have a PhD in Computational Neuroscience and a background in applications of neural networks to computer vision and learning via attention. Recently I'm interested in active and reinforcement learning applications to personalization.

Research Areas

Authored Publications

Google

3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement

Praneet Dutta

Bruce Power

Adam Halpert

Carlos Ezequiel

Aravind Subramanian

Chanchal Chatterjee

Sindhu Hari

Kenton Prindle

Vishal Vaddina

Andrew Leach

Raj Domala

Laura Bandura

Massimo Mascaro

NeurIPS (2019) (to appear)

AutoML for Contextual Bandits

Praneet Dutta

Man Kit (Joe) Cheuk

Jonathan Kim

Massimo Mascaro

REVEAL Workshop @ ACM RecSys 2019 Conference, Copenhagen (2019) (to appear)

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