Sotabase

Career

· Software Engineer, Autodesk
· Software Engineer, Brave
· Researcher, Diffractive Labs, Oxford University
· Founder/Developer, Filisia (own startup)
· Research Scientist, Isomorphic Labs
· Software Engineer, Microsoft
· DPhil student in the OATML group, Oxford University

Publications (28)

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
International Conference on Machine Learning · 2020
217
cited
Interventions, Where and How? Experimental Design for Causal Models at Scale
Neural Information Processing Systems · 2022
56
cited
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Neural Information Processing Systems · 2021
37
cited
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
USENIX Annual Technical Conference · 2019
32
cited
Exploration and preference satisfaction trade-off in reward-free learning
arXiv.org · 2021
25
cited
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Neural Information Processing Systems · 2024
16
cited
Differentiable Multi-Target Causal Bayesian Experimental Design
International Conference on Machine Learning · 2023
14
cited
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders
New Interfaces for Musical Expression · 2021
14
cited
Global Geomagnetic Perturbation Forecasting Using Deep Learning
Space Weather · 2022
11
cited
Active inference, preference learning and adaptive behaviour
IOP Conference Series: Materials Science and Engineering · 2022
10
cited
Emergent Interfaces: Vague, Complex, Bespoke and Embodied Interaction between Humans and Computers
Applied Sciences · 2021
9
cited
Robust Imitative Planning: Planning from Demonstrations Under Uncertainty
2019
7
cited
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
International Conference on Machine Learning · 2024
6
cited
Real2sim: Automatic Generation of Open Street Map Towns For Autonomous Driving Benchmarks
2020
6
cited
The Cave of Sounds: An Interactive Installation Exploring How We Create Music Together
New Interfaces for Musical Expression · 2014
5
cited
Amortized Active Causal Induction with Deep Reinforcement Learning
Neural Information Processing Systems · 2024
4
cited
Spatial Assembly with Self-Play Reinforcement Learning
Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) · 2020
3
cited
Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
ACADIA proceedings · 2019
2
cited
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
arXiv.org · 2021
1
cited
Modelling non-reinforced preferences using selective attention
arXiv.org · 2022
1
cited
Sotabase
Panagiotis Tigas | Researcher Profile | Sotabase | Sotabase