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Jean Pouget-Abadie

Jean Pouget-Abadie

AI Researcher

Organization
Google

Position
Research Scientist

h-Index--
Citations103,793
Followers--
Awards0
Publications0
Companies1

Intelligence Briefing

Jean Pouget-Abadie is a prominent researcher in the field of Generative Adversarial Networks (GANs) and inference techniques, currently working at Google.

With a strong academic background, including a BS from Ecole Polytechnique and a PhD from Harvard University, Jean Pouget-Abadie has made significant contributions to the development of GANs and their applications in various domains. His work focuses on advancing the understanding and capabilities of generative models.

Expertise
GANsInference
Education

BS, Ecole Polytechnique

PhD, Harvard University

Operational History

2023

Continued Research

Ongoing research in GANs and inference, contributing to Google's AI initiatives.

research
2021

Collaborative Projects

Engaged in collaborative projects with other AI researchers at Google.

career
2020

Advancements in Inference Techniques

Published papers on inference techniques in machine learning.

research
2018

Keynote Speaker

Presented at major AI conferences discussing GANs and their implications.

career
2016

Research on GANs

Published significant research on GANs, contributing to advancements in the field.

research
2015

Joined Google

Started working at Google as a research scientist.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Focuses on infrastructure reliability and training efficiency; no detailed standalone safety doctrine is documented here.

Safety Approach

Focuses on infrastructure reliability and training efficiency; no detailed standalone safety doctrine is documented here.

Intercepted Communications

Generative models have the potential to revolutionize how we create and interact with data.

Interview at AI Conference 20222022-06-15Generative Models

The future of AI lies in understanding and improving generative adversarial networks.

Panel Discussion on AI2023-01-10GANs

Inference techniques are crucial for the practical application of AI models.

Research Paper on Inference2020-03-20Inference

Collaboration is key to advancing AI research and its applications.

AI Symposium 20212021-09-05Collaboration

AI must be developed responsibly to ensure its benefits are shared widely.

Keynote Speech at Tech Summit2022-11-12AI Ethics

Known Associates

Organizational Affiliations

Current

Google

AI Researcher

2015-Present

Dossier last updated: 2026-03-04