Ciarán M. Gilligan-Lee

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Machine Learning Systems

Causal Relationships

Observational Data

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Nat. Mac. Intell.

Publications

Ciarán M. Gilligan-Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri
Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee
Non-parametric identifiability and sensitivity analysis of synthetic control models. CoRR (2023)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. 5 (2) (2023)
Graham Van Goffrier, Lucas Maystre, Ciarán M. Gilligan-Lee
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding. CoRR (2023)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) (2022)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. CoRR (2022)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating the probabilities of causation via deep monotonic twin networks. CoRR (2021)
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr
Technology Readiness Levels for Machine Learning Systems. CoRR (2021)