Articles with public access mandates - Somdeb SarkhelLearn more
Available somewhere: 8
Scalable training of Markov logic networks using approximate counting
S Sarkhel, D Venugopal, T Pham, P Singla, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandates: US National Science Foundation
Automatic parameter tying: A new approach for regularized parameter learning in markov networks
L Chou, P Sahoo, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: US National Science Foundation, US Department of Defense
Efficient Inference for Untied MLNs
S Sarkhel, D Venugopal, N Ruozzi, V Gogate
IJCAI, 2017
Mandates: US National Science Foundation, US Department of Defense
Augmenting deep learning with relational knowledge from markov logic networks
MM Islam, S Sarkhel, D Venugopal
2020 IEEE International Conference on Big Data (Big Data), 54-63, 2020
Mandates: US National Science Foundation
Question Modifiers in Visual Question Answering
W Britton, S Sarkhel, D Venugopal
Language Resources and Evaluation Conference, 2022
Mandates: US National Science Foundation
Contrastive learning in neural tensor networks using asymmetric examples
MM Islam, S Sarkhel, D Venugopal
2021 IEEE International Conference on Big Data (Big Data), 28-39, 2021
Mandates: US National Science Foundation
Evaluating Captioning Models using Markov Logic Networks
M Shah, S Sarkhel, D Venugopal
2022 IEEE International Conference on Big Data (Big Data), 127-134, 2022
Mandates: US National Science Foundation
Interpretable Explanations for Probabilistic Inference in Markov Logic
KM Al Farabi, S Sarkhel, S Dey, D Venugopal
2021 IEEE International Conference on Big Data (Big Data), 1256-1264, 2021
Mandates: US National Science Foundation
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