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Symmetry-Based Representations for Artificial and Biological Intelligence
Irina Higgins
Sat Dec 03 07:00 AM -- 07:30 AM (PST) @
Author Information
Irina Higgins (DeepMind)
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2021 : Which priors matter? Benchmarking models for learning latent dynamics »
Aleksandar Botev · Andrew Jaegle · Peter Wirnsberger · Daniel Hennes · Irina Higgins -
2022 : Solving Math Word Problems with Process-based and Outcome-based Feedback »
Jonathan Uesato · Nate Kushman · Ramana Kumar · H. Francis Song · Noah Siegel · Lisa Wang · Antonia Creswell · Geoffrey Irving · Irina Higgins -
2022 : Solving Math Word Problems with Process-based and Outcome-based Feedback »
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2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
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2022 Workshop: Information-Theoretic Principles in Cognitive Systems »
Noga Zaslavsky · Mycal Tucker · Sarah Marzen · Irina Higgins · Stephanie Palmer · Samuel J Gershman -
2021 : Invited Talk #3 - Disentanglement for Controllable Image Generation (Irina Higgins) »
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2021 Poster: SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision »
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2021 Tutorial: Pay Attention to What You Need: Do Structural Priors Still Matter in the Age of Billion Parameter Models? »
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2021 : Why do we Need Structure and Where does it Come From? »
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2020 : Invited Talk: Irina Higgins »
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2020 : Panel Discussion »
Jessica Hamrick · Klaus Greff · Michelle A. Lee · Irina Higgins · Josh Tenenbaum -
2020 Poster: Disentangling by Subspace Diffusion »
David Pfau · Irina Higgins · Alex Botev · Sébastien Racanière -
2019 : Panel Discussion: What sorts of cognitive or biological (architectural) inductive biases will be crucial for developing effective artificial intelligence? »
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2019 : What is disentangling and does intelligence need it? »
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2018 : Invited Talk 3 »
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2018 Poster: Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies »
Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins -
2018 Spotlight: Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies »
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2017 : Irina Higgins »
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