| Lifted MAP inference for Markov logic networks S Sarkhel, D Venugopal, P Singla, V Gogate Artificial intelligence and statistics, 859-867, 2014 | 50 | 2014 |
| Utilizing artificial intelligence to generate enhanced digital content and improve digital content campaign design V Swaminathan, S Sarkhel, S Mitra US Patent 10,887,640, 2021 | 42 | 2021 |
| Toolchain*: Efficient action space navigation in large language models with a* search Y Zhuang, X Chen, T Yu, S Mitra, V Bursztyn, RA Rossi, S Sarkhel, ... arXiv preprint arXiv:2310.13227, 2023 | 33 | 2023 |
| Just count the satisfied groundings: Scalable local-search and sampling based inference in mlns D Venugopal, S Sarkhel, V Gogate Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 32 | 2015 |
| 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 | 31 | 2016 |
| User segment identification based on similarity in content consumption W Kar, V Swaminathan, S Sarkhel US Patent 10,789,620, 2020 | 25 | 2020 |
| Fast lifted map inference via partitioning S Sarkhel, P Singla, VG Gogate Advances in Neural Information Processing Systems 28, 2015 | 20 | 2015 |
| On parameter tying by quantization L Chou, S Sarkhel, N Ruozzi, V Gogate Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 17 | 2016 |
| Scalable bid landscape forecasting in real-time bidding A Ghosh, S Mitra, S Sarkhel, J Xie, G Wu, V Swaminathan Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 15 | 2019 |
| Magician: Scalable inference and learning in Markov logic using approximate symmetries D Venugopal, S Sarkhel, V Gogate The University of Memphis, Tech. Rep., 2016 | 13 | 2016 |
| UAI 2014 inference competition V Gogate, T Rahman, S Sarkhel, D Smith, D Venugopal See www. hlt. utdallas. edu/vgogate/uai14-competition, 2014 | 12 | 2014 |
| Predicting digital personas for digital-content recommendations using a machine-learning-based persona classifier S Sarkhel, V Swaminathan, S Yang, S Mitra, L Shivalingaiah, J Boyer, ... US Patent 10,904,599, 2021 | 11 | 2021 |
| Personalized video recommendations for shared accounts S Yang, S Sarkhel, S Mitra, V Swaminathan 2017 IEEE International Symposium on Multimedia (ISM), 256-259, 2017 | 11 | 2017 |
| An integer polynomial programming based framework for lifted MAP inference S Sarkhel, D Venugopal, P Singla, VG Gogate Advances in Neural Information Processing Systems 27, 2014 | 10 | 2014 |
| Utilizing machine learning to generate parametric distributions for digital bids in a real-time digital bidding environment S Mitra, A Ghosh, S Sarkhel, J Xie US Patent App. 16/248,287, 2020 | 9 | 2020 |
| On lifted inference using neural embeddings MM Islam, S Sarkhel, D Venugopal Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7916-7923, 2019 | 9 | 2019 |
| Efficient weight learning in high-dimensional untied mlns KM Al Farabi, S Sarkhel, D Venugopal International Conference on Artificial Intelligence and Statistics, 1637-1645, 2018 | 9 | 2018 |
| Lifting WALKSAT-based local search algorithms for MAP inference S Sarkhel, V Gogate Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 9 | 2013 |
| Flash: concept drift adaptation in federated learning K Panchal, S Choudhary, S Mitra, K Mukherjee, S Sarkhel, S Mitra, ... International Conference on Machine Learning, 26931-26962, 2023 | 8 | 2023 |
| Content-based effectiveness prediction of video advertisements Q Lou, S Sarkhel, S Mitra, V Swaminathan 2018 IEEE International Symposium on Multimedia (ISM), 69-72, 2018 | 8 | 2018 |
Saayan MitraPrincipal Research Scientist, AdobeVerified email at adobe.com
