Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program. - John M. Winn; John Guiver; Sam Webster; Yordan Zaykov; Martin Kukla; Dany Fabian (AKBC, 2019)

Sparse Uncertainty Representation in Deep Learning with Inducing Weights. - Hippolyt Ritter; Martin Kukla; Cheng Zhang 005; Yingzhen Li (NeurIPS, 2021)

Deep End-to-end Causal Inference. - Tomas Geffner; Javier Antorán; Adam Foster 001; Wenbo Gong 001; Chao Ma 019; Emre Kiciman; Amit Sharma 007; Angus Lamb; Martin Kukla; Nick Pawlowski; Miltiadis Allamanis; Cheng Zhang 005 (CoRR, 2022)

Deep End-to-end Causal Inference. - Tomas Geffner; Javier Antorán; Adam Foster 001; Wenbo Gong 001; Chao Ma 019; Emre Kiciman; Amit Sharma 007; Angus Lamb; Martin Kukla; Nick Pawlowski; Agrin Hilmkil; Joel Jennings; et al. (Trans. Mach. Learn. Res., 2024)