Publications

RECLAIM: Cyclic Causal Discovery Amid Measurement Noise
Muralikrishnna G. Sethuraman, and Faramarz Fekri
In Preprint Under Review (2026)
paper

MissNODAG: Differentiable Learning of Cyclic Causal Graphs from Incomplete Data
Muralikrishnna G. Sethuraman, Razieh Nabi, and Faramarz Fekri
In Transactions on Machine Learning Research (2026)
paper

SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
Alpar Turkoglu, Muralikrishnna G. Sethuraman, and Faramarz Fekri
In Preprint Under Review (2026)

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna G. Sethuraman, and Faramarz Fekri
In Advances in Neural Information Processing Systems (NeurIPS) (Spotlight—top 4% of submissions) (2025)
paper slides poster code

Construction of an Array of Biosensors Using Density Evolution for MicroRNA Monitoring
Muralikrishnna G. Sethuraman, Megan A. McSweeney, Mark P. Styczynski, and Faramarz Fekri
In IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (2025)
paper

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, and Jan-Christian Hütter
In Twenty Sixth International Conference on Artificial Intelligence and Statistics (AISTATS) (2023)
paper slides poster code video

A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements
Muralikrishnna G. Sethuraman, Hang Zhang, and Faramarz Fekri
In Fifty Ninth Annual Allerton Conference on Communication, Control, and Computing (2023)
paper supp slides

Visual Question Answering based on Formal Logic
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, and J. Clayton Kerce
In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021)
paper supp

Batch Look Ahead Orthogonal Matching Pursuit
Muralikrishnna G. Sethuraman, Sooraj K. Ambat, and K.V.S. Hari
In 2018 Twenty Fourth National Conference on Communications (NCC) (2018)
paper slides code