| Barcode demixing through non-negative spatial regression (bardensr) S Chen, J Loper, X Chen, A Vaughan, AM Zador, L Paninski PLoS computational biology 17 (3), e1008256, 2021 | 24 | 2021 |
| A general linear-time inference method for Gaussian Processes on one dimension J Loper, D Blei, JP Cunningham, L Paninski Journal of Machine Learning Research 22 (234), 1-36, 2021 | 19* | 2021 |
| Variational inference with coverage guarantees Y Patel, D McNamara, J Loper, J Regier, A Tewari arXiv preprint arXiv:2305.14275, 2023 | 5 | 2023 |
| Smoothed nested testing on directed acyclic graphs JH Loper, L Lei, W Fithian, W Tansey Biometrika 109 (2), 457-471, 2022 | 5 | 2022 |
| Transsacadic information and corollary discharge in local field potentials of macaque V1 MA Paradiso, S Akers-Campbell, O Ruiz, JE Niemeyer, S Geman, J Loper Frontiers in Integrative Neuroscience 12, 63, 2019 | 3 | 2019 |
| Blind demixing methods for recovering dense neuronal morphology from barcode imaging data S Chen, J Loper, P Zhou, L Paninski PLoS Computational Biology 18 (4), e1009991, 2022 | 2 | 2022 |
| Uniform ergodicity for brownian motion in a bounded convex set J Loper Journal of Theoretical Probability 33 (1), 22-35, 2020 | 2 | 2020 |
| Base-pair ambiguity and the kinetics of RNA folding G Zhou, J Loper, S Geman BMC bioinformatics 20, 1-13, 2019 | 2 | 2019 |
| Neural activity in macaque V1 accurately predicts the timing of fixations and saccades O Ruiz, S Geman, J Loper, E Stephen, J Resvick, M Paradiso Soc. Neuosci. Abstract 73, 2010 | 2 | 2010 |
| Capacities and efficient computation of first-passage probabilities J Loper, G Zhou, S Geman Physical Review E 102 (2), 023304, 2020 | 1* | 2020 |
| Smoothed Nested Testing on Directed Acyclic Graphs W Tansey, JH Loper, L Lei, W Fithian arXiv e-prints, arXiv: 1911.09200, 2019 | 1 | 2019 |
| The Markov link method: a nonparametric approach to combine observations from multiple experiments J Loper, T Bakken, U Sumbul, G Murphy, H Zeng, D Blei, L Paninski bioRxiv, 457283, 2018 | 1 | 2018 |
| Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference D McNamara, J Loper, J Regier International Conference on Artificial Intelligence and Statistics, 4312-4320, 2024 | | 2024 |
| Abstract B001: Glioblastoma evolution and resistance is mediated by a shift in cell state and tumor microenvironmental interactions S Shankar, V Ravikumar, A Tripathy, S Ji, J Loper, Z Hassan, Z Fehmi, ... Cancer Research 84 (5_Supplement_1), B001-B001, 2024 | | 2024 |
| Distinct anatomical and functional corticospinal inputs innervate different spinal neuron types S Fageiry, CL Warriner, J Loper, L Paninski, T Reardon, TM Jessell, ... bioRxiv, 2024.04. 29.591683, 2024 | | 2024 |
| SINGLE CELL SEQUENCING OF RECURRENT GLIOBLASTOMA DEFINES CELLULAR STATES ASSOCIATED WITH THERAPY RESISTANCE A Tripathi, S Shankar, V Ravikumar, J Loper, S Ji, Z Hassan, Y Haydin, ... NEURO-ONCOLOGY 25, 2023 | | 2023 |
| Improving Accuracy in Cell-Perturbation Experiments by Leveraging Auxiliary Information J Loper, N Solomon, J Regier arXiv preprint arXiv:2307.11686, 2023 | | 2023 |
| Amortized Variational Inference with Coverage Guarantees Y Patel, D McNamara, J Loper, J Regier, A Tewari arXiv preprint arXiv:2305.14275, 2023 | | 2023 |
| Model-Free Error Assessment for Breadth-First Studies, with Applications to Cell-Perturbation Experiments J Loper, R Barton, M Subramaniam, M Dhainaut, J Regier arXiv preprint arXiv:2208.01745, 2022 | | 2022 |
| Variational Inference with Coverage Guarantees in Simulation-Based Inference Y Patel, D McNamara, J Loper, J Regier, A Tewari Forty-first International Conference on Machine Learning, 0 | | |
