MeDIL: A Python Package for Causal Modelling. - Alex Markham; Aditya Chivukula; Moritz Grosse-Wentrup (PGM, 2020)

Measurement Dependence Inducing Latent Causal Models. - Alex Markham; Moritz Grosse-Wentrup (UAI, 2020)

A theory of algorithms and implementations and their relevance to cognitive science. - Anja Meunier; Alex Markham; Moritz Grosse-Wentrup (CogSci, 2021)

Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing. - Jiachen Xu; Alex Markham; Anja Meunier; Philipp Raggam; Moritz Grosse-Wentrup (SMC, 2021)

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. - Alex Markham; Moritz Grosse-Wentrup (CoRR, 2021)

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. - Alex Markham; Richeek Das; Moritz Grosse-Wentrup (CLeaR, 2022)

A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. - Alex Markham; Danai Deligeorgaki; Pratik Misra; Liam Solus (PGM, 2022)

Causal Structure Learning with Greedy Unconditional Equivalence Search. - Alex Markham; Danai Deligeorgaki; Pratik Misra; Liam Solus (CoRR, 2022)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

Neuro-Causal Factor Analysis. - Alex Markham; Mingyu Liu; Bryon Aragam; Liam Solus (CoRR, 2023)

Scalable Structure Learning for Sparse Context-Specific Causal Systems. - Felix Leopoldo Rios; Alex Markham; Liam Solus (CoRR, 2024)

Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling. - Xudong Sun 002; Alex Markham; Pratik Misra; Carsten Marr (CoRR, 2025)

Intervening to learn and compose disentangled representations. - Alex Markham; Jeri A. Chang; Isaac Hirsch; Liam Solus; Bryon Aragam (CoRR, 2025)