| Phenology of nocturnal avian migration has shifted at the continental scale KG Horton, FA La Sorte, D Sheldon, TY Lin, K Winner, G Bernstein, S Maji, ... Nature climate change 10 (1), 63-68, 2020 | 161 | 2020 |
| MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks TY Lin, K Winner, G Bernstein, A Mittal, AM Dokter, KG Horton, C Nilsson, ... Methods in Ecology and Evolution 10 (11), 1908-1922, 2019 | 90 | 2019 |
| Differentially private bayesian linear regression G Bernstein, DR Sheldon Advances in Neural Information Processing Systems 32, 2019 | 76 | 2019 |
| Differentially private Bayesian inference for exponential families G Bernstein, DR Sheldon Advances in Neural Information Processing Systems 31, 2018 | 56 | 2018 |
| Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models G Bernstein, R McKenna, T Sun, D Sheldon, M Hay, G Miklau ICML 2017, 2017 | 37 | 2017 |
| Innovative visualizations shed light on avian nocturnal migration J Shamoun-Baranes, A Farnsworth, B Aelterman, JA Alves, K Azijn, ... PloS one 11 (8), e0160106, 2016 | 31 | 2016 |
| Consistently Estimating Markov Chains with Noisy Aggregate Data G Bernstein, D Sheldon AISTATS 2016, 2016 | 25 | 2016 |
| Bayesian discovery of threat networks ST Smith, EK Kao, KD Senne, G Bernstein, S Philips IEEE Transactions on Signal Processing 62 (20), 5324-5338, 2014 | 25 | 2014 |
| Stochastic agent-based simulations of social networks G Bernstein, K O'Brien arXiv preprint arXiv:1309.1747, 2013 | 18 | 2013 |
| Covert network detection ST Smith, KD Senne, S Philips, EK Kao, G Bernstein Lincoln Laboratory Journal 20 (1), 3.1, 2013 | 15 | 2013 |
| Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation PB Newcombe, C Nilsson, TY Lin, K Winner, G Bernstein, S Maji, ... Biology letters 15 (9), 20190383, 2019 | 12 | 2019 |
| Inference in a partially observed queuing model with applications in ecology K Winner, G Bernstein, D Sheldon International Conference on Machine Learning, 2512-2520, 2015 | 6 | 2015 |
| Network detection theory and performance ST Smith, KD Senne, S Philips, EK Kao, G Bernstein arXiv preprint arXiv:1303.5613, 2013 | 5 | 2013 |
| Graphical Models For Rare Sequence Variant Interpretation. A Nampally, E Palovcak, G Bernstein, M Davis | | 2021 |
| Noise-Aware Inference for Differential Privacy G Bernstein | | 2020 |
| Bayesian network detection using absorbing Markov chains ST Smith, EK Kao, KD Senne, G Bernstein 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | | 2014 |
