| Improved energy reconstruction in NOvA with regression convolutional neural networks P Baldi, J Bian, L Hertel, L Li Physical Review D 99 (1), 012011, 2019 | 47* | 2019 |
| Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events B Shahbaba, L Li, F Agostinelli, M Saraf, KW Cooper, D Haghverdian, ... Nature communications 13 (1), 787, 2022 | 39* | 2022 |
| Neural Network Gradient Hamiltonian Monte Carlo L Li, A Holbrook, B Shahbaba, P Baldi Computational Statistics 34 (1), 281-299, 2019 | 23 | 2019 |
| Efficient neutrino oscillation parameter inference using Gaussian processes L Li, N Nayak, J Bian, P Baldi Physical Review D 101 (1), 012001, 2020 | 11 | 2020 |
| Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes L Li, D Pluta, B Shahbaba, N Fortin, H Ombao, P Baldi Conference on Neural Information Processing Systems, 2019 | 11 | 2019 |
| Learning Frame Interpolation for Tilt Series Tomography A Rakowski, J Merham, L Li, P Baldi, J Patterson Microscopy and Microanalysis 26 (S2), 928-930, 2020 | 1 | 2020 |
| Improving Statistical Inference Through Flexible Approximations L Li University of California, Irvine, 2020 | | 2020 |
| Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method T Chen, L Li, G Elias, N Fortin, B Shahbaba arXiv preprint arXiv:1910.05695, 2019 | | 2019 |
Pierre BaldiProfessor, University of California, Irvineics.uci.edu의 이메일 확인됨
