Lingge Li

20182019202020212022202320242 9 15 25 29 35 15

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Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Jianming BianUniversity of California, IrvineVerified email at uci.edu
Babak ShahbabaStatistics and Computer Science, University of California, IrvineVerified email at uci.edu
Norbert J. FortinCenter for the Neurobiology of Learning and Memory, Dept. of Neurobiology and Behavior, UCIVerified email at uci.edu
Lars HertelLinkedInVerified email at linkedin.com
Andrew J. HolbrookAssistant Professor of Biostatistics, UCLAVerified email at g.ucla.edu

Lingge Li

Verified email at uci.edu


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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	38*	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

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