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2020 – today
- 2024
[c5]Sahil Sidheekh
, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan:
Deep Tractable Probabilistic Models. COMAD/CODS 2024: 501-504- [i3]Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan:
A Unified Framework for Human-Allied Learning of Probabilistic Circuits. CoRR abs/2405.02413 (2024) - 2022
- [c4]Athresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer:
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. NeurIPS 2022 - [c3]Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan:
Explaining Deep Tractable Probabilistic Models: The sum-product network case. PGM 2022: 325-336 - 2021
- [c2]Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan:
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. AIME 2021: 497-502 - [c1]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. NeurIPS 2021: 15019-15031 - [i2]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. CoRR abs/2102.10440 (2021) - [i1]Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan:
Explaining Deep Tractable Probabilistic Models: The sum-product network case. CoRR abs/2110.09778 (2021)
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