| Binding language models in symbolic languages Z Cheng, T Xie, P Shi, C Li, R Nadkarni, Y Hu, C Xiong, D Radev, ... International Conference on Learning Representations, 2022 | 170 | 2022 |
| Scientific language models for biomedical knowledge base completion: an empirical study R Nadkarni, D Wadden, I Beltagy, NA Smith, H Hajishirzi, T Hope Automated Knowledge Base Construction, 2021 | 33 | 2021 |
| Sparse plus low-rank graphical models of time series for functional connectivity in MEG NJ Foti, R Nadkarni, AKC Lee, EB Fox 2nd SIGKDD Workshop on Mining and Learning from Time Series, 2016 | 13 | 2016 |
| Sparse plus low-rank graphical models of time series to infer functional connectivity from MEG recordings R Nadkarni, NJ Foti, AKC Lee, EB Fox | 1 | 2017 |
| Using a linear dynamic system to measure functional connectivity from M/EEG J Drew, N Foti, R Nadkarni, E Larson, E Fox, AKC Lee Journal of Neural Engineering 21 (4), 046020, 2024 | | 2024 |
| Third-Party Language Model Performance Prediction from Instruction R Nadkarni, Y Wang, NA Smith arXiv preprint arXiv:2403.12413, 2024 | | 2024 |
| Dynamic functional connectivity in auditory attention task J Drew, E Larson, N Foti, R Nadkarni, E Fox, AKC Lee The Journal of the Acoustical Society of America 150 (4_Supplement), A144-A144, 2021 | | 2021 |
| A hierarchical state-space model with Gaussian process dynamics for functional connectivity estimation R Nadkarni, NJ Foti, AKC Lee, EB Fox NeurIPS Workshop on Learning Meaningful Representations of Life, 2019 | | 2019 |
| Robust recovery of time-varying functional connectivity in MEG R Nadkarni, NJ Foti, EB Fox | | 2018 |
| Learning dynamic functional connectivity networks from infant magnetoencephalography data R Nadkarni, NJ Foti, EB Fox NIPS BigNeuro Workshop, 2017 | | 2017 |
