Ciarán M. Gilligan-Lee

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Contrastive representations of high-dimensional, structured treatments.
CoRR
Oriol Corcoll, Athanasios Vlontzos, Michael O'Riordan, Ciarán M. Gilligan-Lee
2024 J jnl
Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs.
IEEE Trans. Neural Networks Learn. Syst.
Ciarán M. Gilligan-Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri
2024 J jnl
Nature versus nurture in galaxy formation: the effect of environment on star formation with causal machine learning.
CoRR
Sunil Mucesh, William G. Hartley, Ciarán M. Gilligan-Lee, Ofer Lahav
2023 J jnl
Estimating categorical counterfactuals via deep twin networks.
Nat. Mac. Intell.
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
2023 J jnl
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding.
CoRR
Graham W. Van Goffrier, Lucas Maystre, Ciarán M. Gilligan-Lee
2023 J jnl
Non-parametric identifiability and sensitivity analysis of synthetic control models.
CoRR
Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee
2022 — conf
D'ARTAGNAN: Counterfactual Video Generation.
MICCAI (8)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
2022 J jnl
D'ARTAGNAN: Counterfactual Video Generation.
CoRR
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
2022 A* conf
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders.
NeurIPS
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2022 J jnl
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders.
CoRR
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2021 J jnl
Estimating the probabilities of causation via deep monotonic twin networks.
CoRR
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
2021 J jnl
Technology Readiness Levels for Machine Learning Systems.
CoRR
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava J. Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr