Visual Question Answering based on Formal Logic. - Muralikrishnna G. Sethuraman; Ali Payani; Faramarz Fekri; J. Clayton Kerce (ICMLA, 2021)

Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models. - Muralikrishnna G. Sethuraman; Hang Zhang 013; Faramarz Fekri (CoRR, 2022)

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. - Muralikrishnna G. Sethuraman; Romain Lopez; Rahul Mohan; Faramarz Fekri; Tommaso Biancalani; Jan-Christian Hütter (AISTATS, 2023)

A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements. - Muralikrishnna G. Sethuraman; Hang Zhang 013; Faramarz Fekri (Allerton, 2023)

Learning Cyclic Causal Models from Incomplete Data. - Muralikrishnna G. Sethuraman; Faramarz Fekri (CoRR, 2024)

MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data. - Muralikrishnna G. Sethuraman; Razieh Nabi; Faramarz Fekri (CoRR, 2024)