Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art. - Maryam Karimi Mamaghan; Mehrdad Mohammadi; Patrick Meyer; Amir Mohammad Karimi-Mamaghan; El-Ghazali Talbi (Eur. J. Oper. Res., 2022)

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. - Amir Mohammad Karimi-Mamaghan; Panagiotis Tigas; Karl Henrik Johansson; Yarin Gal; Yashas Annadani; Stefan Bauer (ICML, 2024)

Diffusion-Based Causal Representation Learning. - Amir Mohammad Karimi-Mamaghan; Andrea Dittadi; Stefan Bauer; Karl Henrik Johansson; Francesco Quinzan (Entropy, 2024)

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. - Amir Mohammad Karimi-Mamaghan; Samuele Papa; Karl Henrik Johansson; Stefan Bauer; Andrea Dittadi (ICLR, 2025)