| Fastshap: Real-time shapley value estimation N Jethani, M Sudarshan, IC Covert, SI Lee, R Ranganath International Conference on Learning Representations, 2021 | 82 | 2021 |
| A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients N Razavian, VJ Major, M Sudarshan, J Burk-Rafel, P Stella, H Randhawa, ... NPJ digital medicine 3 (1), 130, 2020 | 67 | 2020 |
| Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. N Jethani, M Sudarshan, Y Aphinyanaphongs, R Ranganath International Conference on Artificial Intelligence and Statistics, 1459-1467, 2021 | 49 | 2021 |
| Machine learning improved classification of psychoses using clinical and biological stratification: update from the bipolar-schizophrenia network for intermediate phenotypes (B … SS Mothi, M Sudarshan, N Tandon, C Tamminga, G Pearlson, J Sweeney, ... Schizophrenia research 214, 60-69, 2019 | 28 | 2019 |
| Deep direct likelihood knockoffs M Sudarshan, W Tansey, R Ranganath Advances in neural information processing systems 33, 5036-5046, 2020 | 20 | 2020 |
| Deep dreaming, aberrant salience and psychosis: connecting the dots by artificial neural networks MS Keshavan, M Sudarshan Schizophrenia research 188, 178-181, 2017 | 15 | 2017 |
| Design and development of a self-stabilizing, autonomous sailboat with zero-net stored-energy use R Baker, L Kambourian, S Hajarian, T Augenstein, S Harnett, GM Lee, ... Robotic Sailing 2015: Proceedings of the 8th International Robotic Sailing …, 2016 | 11 | 2016 |
| A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Med. 3, 130 N Razavian, VJ Major, M Sudarshan, J Burk-Rafel, P Stella, H Randhawa, ... | 6 | 2020 |
| Machine learning for discovery: deciphering RNA splicing logic SE Liao, M Sudarshan, O Regev bioRxiv, 2022.10. 01.510472, 2022 | 5 | 2022 |
| 14–3‐3γ prevents centrosome duplication by inhibiting NPM1 function A Bose, K Modi, S Dey, S Dalvi, P Nadkarni, M Sudarshan, TK Kundu, ... Genes to Cells 26 (6), 426-446, 2021 | 5 | 2021 |
| Contra: Contrarian statistics for controlled variable selection M Sudarshan, A Puli, L Subramanian, S Sankararaman, R Ranganath International conference on artificial intelligence and statistics, 1900-1908, 2021 | 4 | 2021 |
| Deciphering RNA splicing logic with interpretable machine learning SE Liao, M Sudarshan, O Regev Proceedings of the National Academy of Sciences 120 (41), e2221165120, 2023 | 2 | 2023 |
| Fast kernel-based association testing of non-linear genetic effects for biobank-scale data B Fu, A Pazokitoroudi, M Sudarshan, Z Liu, L Subramanian, ... Nature communications 14 (1), 4936, 2023 | 1 | 2023 |
| DIET: Conditional independence testing with marginal dependence measures of residual information M Sudarshan, A Puli, W Tansey, R Ranganath International Conference on Artificial Intelligence and Statistics, 10343-10367, 2023 | 1 | 2023 |
| On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R Singhal, M Sudarshan, A Mahishi, S Kaushik, L Ginocchio, A Tong, ... arXiv preprint arXiv:2301.11962, 2023 | 1 | 2023 |
| Accelerated MR screenings with direct k-space classification R Singhal, M Sudarshan, L Ginocchio, A Tong, H Chandarana, ... Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 07-12, 2022 | 1 | 2022 |
| Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning Y Hu, A Lui, M Goldstein, M Sudarshan, A Tinsay, C Tsui, SD Maidman, ... European Heart Journal: Acute Cardiovascular Care, zuae037, 2024 | | 2024 |
| A dynamic risk score for early prediction of cardiogenic shock using machine learning Y Hu, A Lui, M Goldstein, M Sudarshan, A Tinsay, C Tsui, S Maidman, ... arXiv preprint arXiv:2303.12888, 2023 | | 2023 |
| An" interpretable-by-design" neural network to decipher RNA splicing regulatory logic SE Liao, M Sudarshan, O Regev NeurIPS 2022 AI for Science: Progress and Promises, 2022 | | 2022 |
| Investigations on Compression Behavior of Short Reinforced GPC Columns M Sanjith, R Prabhakara, MS Sudarshan NeuroQuantology 20 (16), 4695, 2022 | | 2022 |
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
