Muralikrishnna G. Sethuraman

According to our database, Muralikrishnna G. Sethuraman authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets.

Alpar Turkoglu, Muralikrishnna G. Sethuraman, Faramarz Fekri

CoRR, May, 2026

RECLAIM: Cyclic Causal Discovery Amid Measurement Noise.

Muralikrishnna G. Sethuraman, Faramarz Fekri

CoRR, March, 2026

MissNODAG: Differentiable Learning of Cyclic Causal Graphs from Incomplete Data.

Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri

Trans. Mach. Learn. Res., 2026

2025

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders.

Muralikrishnna G. Sethuraman, Faramarz Fekri

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data.

Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri

CoRR, 2024

Learning Cyclic Causal Models from Incomplete Data.

Muralikrishnna G. Sethuraman, Faramarz Fekri

CoRR, 2024

2023

A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements.

Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning.

Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models.

Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri

CoRR, 2022

2021

Visual Question Answering based on Formal Logic.

Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021