Research Groups

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Robust Machine Learning

We use theoretical and empirical approaches to build machine vision systems that see and understand the world like humans.

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Deep Models and Optimization

Investigating the interplay between optimizer and architecture in Deep Learning, and new networks for long-range reasoning.

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Algorithms and Society

Building theoretical and practical tools to support responsible and reliable machine learning in social context.

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Empirical Inference

Inference performed on the basis of empirical data.

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Safety- and Efficiency- aligned Learning

Investigating the feasibility of technical solutions to safety, security in machine learning.