Muralikrishnna G. Sethuraman

11 papers A 1C 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
MissNODAG: Differentiable Learning of Cyclic Causal Graphs from Incomplete Data.
Trans. Mach. Learn. Res.
Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri
2026 J jnl
RECLAIM: Cyclic Causal Discovery Amid Measurement Noise.
CoRR
Muralikrishnna G. Sethuraman, Faramarz Fekri
2025 J jnl
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders.
CoRR
Muralikrishnna G. Sethuraman, Faramarz Fekri
2024 J jnl
Learning Cyclic Causal Models from Incomplete Data.
CoRR
Muralikrishnna G. Sethuraman, Faramarz Fekri
2024 J jnl
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data.
CoRR
Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri
2023 — conf
A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements.
Allerton
Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
2023 A conf
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning.
AISTATS
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
2023 J jnl
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning.
CoRR
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
2022 J jnl
Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models.
CoRR
Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
2021 C conf
Visual Question Answering based on Formal Logic.
ICMLA
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
2021 J jnl
Visual Question Answering based on Formal Logic.
CoRR
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce