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Muralikrishnna G. Sethuraman

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2024
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  - journals/corr/abs-2402-15625
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Muralikrishnna G. Sethuraman, Faramarz Fekri:
Learning Cyclic Causal Models from Incomplete Data. CoRR abs/2402.15625 (2024)
2023
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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
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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
[i3]
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  - journals/corr/abs-2301-01849
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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
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  - journals/corr/abs-2203-09636
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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
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Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. ICMLA 2021: 952-957
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  - journals/corr/abs-2111-04785
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Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. CoRR abs/2111.04785 (2021)

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