| Allostatic self-efficacy: A metacognitive theory of dyshomeostasis-induced fatigue and depression KE Stephan, ZM Manjaly, CD Mathys, LAE Weber, S Paliwal, T Gard, ... Frontiers in human neuroscience 10, 550, 2016 | 473 | 2016 |
| The structural connectivity of subthalamic deep brain stimulation correlates with impulsivity in Parkinson’s disease PE Mosley, S Paliwal, K Robinson, T Coyne, P Silburn, M Tittgemeyer, ... Brain 143 (7), 2235-2254, 2020 | 74 | 2020 |
| Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs S Paliwal, A de Giorgio, D Neil, JB Michel, AMB Lacoste Scientific reports 10 (1), 18250, 2020 | 45 | 2020 |
| The structural connectivity of discrete networks underlies impulsivity and gambling in Parkinson’s disease PE Mosley, S Paliwal, K Robinson, T Coyne, P Silburn, M Tittgemeyer, ... Brain 142 (12), 3917-3935, 2019 | 44 | 2019 |
| A model-based analysis of impulsivity using a slot-machine gambling paradigm S Paliwal, FH Petzschner, AK Schmitz, M Tittgemeyer, KE Stephan Frontiers in human neuroscience 8, 428, 2014 | 40 | 2014 |
| Subjective estimates of uncertainty during gambling and impulsivity after subthalamic deep brain stimulation for Parkinson’s disease S Paliwal, PE Mosley, M Breakspear, T Coyne, P Silburn, E Aponte, ... Scientific reports 9 (1), 14795, 2019 | 23 | 2019 |
| Directed graph embeddings in pseudo-riemannian manifolds A Sim, ML Wiatrak, A Brayne, P Creed, S Paliwal International Conference on Machine Learning, 9681-9690, 2021 | 17 | 2021 |
| Inversion of hierarchical Bayesian models using Gaussian processes EI Lomakina, S Paliwal, AO Diaconescu, KH Brodersen, EA Aponte, ... Neuroimage 118, 133-145, 2015 | 14 | 2015 |
| Allostatic self-efficacy: A metacognitive theory of dyshomeostasis-induced fatigue and depression. Front Hum Neurosci. 2016; 10: 550 KE Stephan, ZM Manjaly, CD Mathys, LA Weber, S Paliwal, T Gard | 7 | 2016 |
| Horrible here”: How systemic failures of transparency have hidden the impacts of COVID-19 on incarcerated women A Lacoste, S Paliwal, E Tyagi, H Johnson Repéré sur le site du UCLA Covid Behind Bars Data Project: https …, 2021 | 5 | 2021 |
| Subjective estimates of uncertainty and volatility during gambling predict impulsivity after subthalamic deep brain stimulation for Parkinson’s disease S Paliwal, P Mosley, M Breakspear, T Coyne, P Silburn, E Aponte, ... BioRxiv, 2018 | 2 | 2018 |
| BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery PS John, D Lin, P Binder, M Greaves, V Shah, JS John, A Lange, P Hsu, ... arXiv preprint arXiv:2411.10548, 2024 | 1 | 2024 |
| UKAN: Unbound Kolmogorov-Arnold Network Accompanied with Accelerated Library A Moradzadeh, L Wawrzyniak, M Macklin, SG Paliwal arXiv preprint arXiv:2408.11200, 2024 | 1 | 2024 |
| Graph embedding systems and apparatus SIM Aaron, ML Wiatrak, ARG Brayne, P Creed, S Paliwal US Patent App. 18/365,325, 2023 | 1 | 2023 |
| Bayesian inversion of dynamic causal models using Gaussian processes EI Lomakina, S Paliwal, KH Brodersen, JM Buhmann, KE Stephan Human Brain Mapping, 2013 | 1 | 2013 |
| Molecule Generation with Fragment Retrieval Augmentation S Lee, K Kreis, S Veccham, M Liu, D Reidenbach, S Paliwal, A Vahdat, ... Advances in Neural Information Processing Systems 37, 132463-132490, 2025 | | 2025 |
| GenMol: A Drug Discovery Generalist with Discrete Diffusion S Lee, K Kreis, SP Veccham, M Liu, D Reidenbach, Y Peng, S Paliwal, ... arXiv preprint arXiv:2501.06158, 2025 | | 2025 |
| DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction M Liu, SG Paliwal arXiv preprint arXiv:2406.07770, 2024 | | 2024 |
| LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions N Kumar-Singh, G Polleti, S Paliwal, R Hodos-Nkhereanye arXiv preprint arXiv:2406.00855, 2024 | | 2024 |
| Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations S Paliwal, A Brayne, B Fabian, M Wiatrak, A Sim arXiv preprint arXiv:2212.03720, 2022 | | 2022 |