| Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, J Dillon, ... Advances in neural information processing systems 32, 2019 | 1619 | 2019 |
| Likelihood ratios for out-of-distribution detection J Ren, PJ Liu, E Fertig, J Snoek, R Poplin, M Depristo, J Dillon, ... Advances in neural information processing systems 32, 2019 | 687 | 2019 |
| The variability of interconnected wind plants W Katzenstein, E Fertig, J Apt Energy policy 38 (8), 4400-4410, 2010 | 268 | 2010 |
| Economics of compressed air energy storage to integrate wind power: A case study in ERCOT E Fertig, J Apt Energy Policy 39 (5), 2330-2342, 2011 | 214 | 2011 |
| The effect of long-distance interconnection on wind power variability E Fertig, J Apt, P Jaramillo, W Katzenstein Environmental research letters 7 (3), 034017, 2012 | 88 | 2012 |
| Can you trust your model’s uncertainty Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, JV Dillon, ... Evaluating predictive uncertainty under dataset shift, 2019 | 64 | 2019 |
| Automatic structured variational inference L Ambrogioni, K Lin, E Fertig, S Vikram, M Hinne, D Moore, M van Gerven International Conference on Artificial Intelligence and Statistics, 676-684, 2021 | 28 | 2021 |
| Optimal investment timing and capacity choice for pumped hydropower storage E Fertig, AM Heggedal, G Doorman, J Apt Energy Systems 5, 285-306, 2014 | 27 | 2014 |
| Rare breakthroughs vs. incremental development in R&D strategy for an early-stage energy technology E Fertig Energy policy 123, 711-721, 2018 | 11 | 2018 |
| Simulating sub-hourly variability of wind power output E Fertig Wind Energy (in press), 2019 | 10 | 2019 |
| Smart integration of variable and intermittent renewables J Apt, E Fertig, W Katzenstein 2012 45th Hawaii International Conference on System Sciences, 1997-2001, 2012 | 8 | 2012 |
| Dueling decoders: Regularizing variational autoencoder latent spaces B Seybold, E Fertig, A Alemi, I Fischer arXiv preprint arXiv:1905.07478, 2019 | 6 | 2019 |
| Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling G Silvestri, E Fertig, D Moore, L Ambrogioni arXiv preprint arXiv:2110.06021, 2021 | 5 | 2021 |
| -VAEs can retain label information even at high compression E Fertig, A Arbabi, AA Alemi arXiv preprint arXiv:1812.02682, 2018 | 5 | 2018 |
| Facilitating the development and integration of low-carbon energy technologies E Fertig Carnegie Mellon University Pittsburgh, PA, 2013 | 2 | 2013 |
| PROTOLITH AND TECTONIC SETTING OF QUARTZOFELDSPATHIC GNEISSES OF THE HIGHLAND MOUNTAINS, GREENHORN RANGE AND ALDER GULCH; SOUTHWEST MONTANA E Fertig, C Siddoway, TA Harms | 2 | 2006 |
| Optimal Investment Strategy in Low-Carbon Energy R&D with Uncertain Payoff E Fertig, J Apt Transition to a Sustainable Energy Era: Opportunities & Challenges,,, 2012 | 1 | 2012 |
| The Role of Energy Storage in Renewable Power Integration E Fertig, S Wagner Integration and Policy Workshop for RenewElec Project. Carnegie Mellon …, 2010 | 1 | 2010 |
| Likelihood Ratios for Out-of-Distribution Detection J Ren, B Lakshminarayanan, PJ Liu, JV Dillon, RJ Snoek, R Poplin, ... US Patent App. 17/616,494, 2022 | | 2022 |
| Dynamic programming vs. robust optimization for managing a system with an uncertain threshold response E Fertig, M Webster | | 2015 |
