3 citations · 4 across the 4 of their papers we have counts for
4 papers
: Featuring Large Language Models with Causal Reasoning
Abdolmahdi Bagheri, Matin Alinejad, Mahdi Dehshiri +2
Causal reasoning is one of the primary bottlenecks that Large Language Models (LLMs) must overcome to attain human-level intelligence. Recent studies indicate that LLMs display nea…
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri, Mahdi Dehshiri, Babak Nadjar Araabi +1
In the investigation of any causal mechanisms, such as the brain's causal networks, the assumption of causal sufficiency plays a critical role. Notably, neglecting this assumption…
Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello +2
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discover…
Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
Abdolmahdi Bagheri, Mahdi Dehshiri, Yamin Bagheri +2
Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our understanding of brain o…