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ORCIDMuralikrishnna G. Sethuraman
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Conference and Workshop Papers
- 2023
[c3]Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri
, Tommaso Biancalani, Jan-Christian Hütter:
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. AISTATS 2023: 6371-6387- [c2]Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri:
A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements. Allerton 2023: 1-8 - 2021
- [c1]Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. ICMLA 2021: 952-957
Informal and Other Publications
- 2024
- [i5]Muralikrishnna G. Sethuraman, Faramarz Fekri:
Learning Cyclic Causal Models from Incomplete Data. CoRR abs/2402.15625 (2024) - [i4]Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri:
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data. CoRR abs/2410.18918 (2024) - 2023
- [i3]Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter:
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. CoRR abs/2301.01849 (2023) - 2022
- [i2]Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri:
Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models. CoRR abs/2203.09636 (2022) - 2021
- [i1]Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. CoRR abs/2111.04785 (2021)
Coauthor Index
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