Sotabase

Career

· Research Scientist, DeepMind2022–
· Research Scientist Intern, DeepMind2021–2021
· Research Intern, Microsoft Research2020–2020
· Doctor of Philosophy - PhD, Computer Science, University of Oxford2017–2022
· PhD Student, University of Oxford2017–2022
· Research Assistant, Vrije Universiteit Brussel2016–2017
· Master of Science (M.Sc.), Artificial Intelligence, Cum Laude, University of Amsterdam2013–2015
· Student Assistant, University of Hamburg2011–2012
· Bachelor of Science (B.Sc.), Mathematics, Universität Hamburg2009–2013

Publications (35)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
International Conference on Learning Representations · 2017
729
cited
A practical guide to multi-objective reinforcement learning and planning
Autonomous Agents and Multi-Agent Systems · 2021
448
cited
Fast Context Adaptation via Meta-Learning
International Conference on Machine Learning · 2018
410
cited
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
International Conference on Learning Representations · 2019
306
cited
Deep Variational Reinforcement Learning for POMDPs
International Conference on Machine Learning · 2018
288
cited
A Tutorial on Meta-Reinforcement Learning
Found. Trends Mach. Learn. · 2023
134
cited
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
Journal of machine learning research · 2021
58
cited
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Adaptive Agents and Multi-Agent Systems · 2021
55
cited
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
IEEE International Conference on Computer Vision · 2021
51
cited
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making
Adaptive Agents and Multi-Agent Systems · 2018
51
cited
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
International Conference on Learning Representations · 2022
49
cited
A New Method to Visualize Deep Neural Networks
arXiv.org · 2016
48
cited
Quality Assessment of MORL Algorithms: A Utility-Based Approach
2015
44
cited
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
International Conference on Machine Learning · 2020
43
cited
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
International ACM SIGACCESS Conference on Computers and Accessibility · 2021
42
cited
CAML: Fast Context Adaptation via Meta-Learning
arXiv.org · 2018
38
cited
Interactive Thompson Sampling for Multi-objective Multi-armed Bandits
Algorithmic Decision Theory · 2017
35
cited
Interpretation of microbiota-based diagnostics by explaining individual classifier decisions
BMC Bioinformatics · 2017
27
cited
Interactive multi-objective reinforcement learning in multi-armed bandits for any utility function
2020
16
cited
Sotabase
Luisa Zintgraf | Researcher Profile | Sotabase | Sotabase