Sotabase

Career

· Senior Research Scientist, Google DeepMind2023–
· Student Researcher, Google2022–2022
· Research Scientist Intern, Google DeepMind2022–2023
· Visiting PhD Student, University of California, Berkeley2022–2022
· Student Researcher, Google2018–2022
· PhD, Computer Science, University of Toronto2018–2023
· Research Intern, Google2017–2017
· Student Researcher, Google2017–2022
· MRes, Computational Statistics and Machine Learning, UCL2017–2018
· Software Engineering Intern, Google2016–2016
· Research Assistant, Information Systems Group, Hasso Plattner Institute2016–2016
· Software Engineering Intern, Google2015–2016
· Research Assistant, Human Computer Interaction Group, Hasso Plattner Institute2014–2015
· Research Assistant, Information Systems Group, Hasso Plattner Institute2014–2016
· BSc, IT Systems Engineering, Hasso Plattner Institute2013–2017

Publications (55)

Learning Latent Dynamics for Planning from Pixels
International Conference on Machine Learning · 2018
1,681
cited
Dream to Control: Learning Behaviors by Latent Imagination
International Conference on Learning Representations · 2019
1,678
cited
Mastering Atari with Discrete World Models
International Conference on Learning Representations · 2020
1,073
cited
A deep learning framework for neuroscience
Nature Neuroscience · 2019
930
cited
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Robotics: Science and Systems · 2018
905
cited
Mastering Diverse Domains through World Models
arXiv.org · 2023
885
cited
Planning to Explore via Self-Supervised World Models
International Conference on Machine Learning · 2020
473
cited
DayDreamer: World Models for Physical Robot Learning
Conference on Robot Learning · 2022
417
cited
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Neural Information Processing Systems · 2018
354
cited
Masked World Models for Visual Control
Conference on Robot Learning · 2022
193
cited
Benchmarking the Spectrum of Agent Capabilities
International Conference on Learning Representations · 2021
179
cited
Discovering and Achieving Goals via World Models
Neural Information Processing Systems · 2021
160
cited
Bayesian Layers: A Module for Neural Network Uncertainty
Neural Information Processing Systems · 2018
137
cited
Deep Hierarchical Planning from Pixels
Neural Information Processing Systems · 2022
122
cited
Sophisticated Inference
Neural Computation · 2020
114
cited
Noise Contrastive Priors for Functional Uncertainty
Conference on Uncertainty in Artificial Intelligence · 2018
109
cited
Video Prediction Models as Rewards for Reinforcement Learning
Neural Information Processing Systems · 2023
89
cited
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
arXiv.org · 2018
77
cited
Learning to Model the World with Language
International Conference on Machine Learning · 2023
71
cited
Action and Perception as Divergence Minimization
arXiv.org · 2020
60
cited
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