Chris Burgess

4 papers · 2018–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICLR (1)

Top co-authors

Loic Matthey (3) Alexander Lerchner (3) Rishabh Kabra (2) Antonia Creswell (2) Irina Higgins (2) Nicholas Watters (1) Alessandro Achille (1) Matt Botvinick (1) Daniel Zoran (1) Nick Watters (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (4) Deep Learning (3) Computer Vision (2) Analysis (2) Core Methods (2) Learning Types · Deep Learning (2) Models (2) Artificial Intelligence (1) Core AI (1) Processing (1)

Keywords

unsupervised learning (2) representation learning (2) disentangled representation (2) variational autoencoder (2) variational inference (1) scene understanding (1) instance segmentation (1) variational approach (1) minimum description length (1) temporal abstraction (1) hyperparameter tuning (1) partially observable environment (1) object-based representation (1) object persistence (1) transition model (1) view synthesis (1) view invariance (1) object alignment (1) video decomposition (1) object representation (1)

Papers

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition NeurIPS 2021 Unsupervised Object-Based Transition Models For 3D Partially Observable Environments NeurIPS 2021 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NeurIPS 2018