8 citations · 31 across the 22 of their papers we have counts for
5 papers · 1 filter
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach
Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
In this paper, we propose circular Hidden Quantum Markov Models (c-HQMMs), which can be applied for modeling temporal data in quantum datasets (with classical datasets as a special…
Quantum causal inference in the presence of hidden common causes: An entropic approach
Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
Quantum causality is an emerging field of study which has the potential to greatly advance our understanding of quantum systems. In this paper, we put forth a theoretical framework…
Scalable Causal Domain Adaptation
Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi
One of the most critical problems in transfer learning is the task of domain adaptation, where the goal is to apply an algorithm trained in one or more source domains to a differen…
Accelerating Recursive Partition-Based Causal Structure Learning
Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan +3
Causal structure discovery from observational data is fundamental to the causal understanding of autonomous systems such as medical decision support systems, advertising campaigns…
Quantum Entropic Causal Inference
Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao +1
The class of problems in causal inference which seeks to isolate causal correlations solely from observational data even without interventions has come to the forefront of machine…