Matthew Robinson — accepted AI-conference papers

2026

Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning

Shimeng Huang, Matthew Robinson, Francesco Locatello

ICML 2026poster

Mendelian Randomization (MR) is a prominent observational epidemiological research method, designed to address unobserved confounding when estimating causal effects. It is closely related to instrumental variable (IV) methods, where genetic variants serve as instruments to infer causal relationships…

Cited by 0 Source ↗Scholar ↗

2023

EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures

Rohan Thakker, Michael Paton, Marlin P. Strub, Michael Swan, Guglielmo Daddi, Rob Royce +41

IROS 2023poster

The discovery of ocean worlds such as Enceladus, Titan, and Europa motivates the development of versatile autonomous mobility systems to enable the next era of space exploration where there is large uncertainty in terrain specifications due to a lack of prior surface reconnaissance missions. To expl…

Cited by 12 Source ↗Scholar ↗