On the compatibility of privacy and fairness R Cummings, V Gupta, D Kimpara, J Morgenstern Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019 | 200 | 2019 |
Evidential deep learning: Enhancing predictive uncertainty estimation for earth system science applications JS Schreck, DJ Gagne, C Becker, WE Chapman, K Elmore, D Fan, ... Artificial Intelligence for the Earth Systems 3 (4), 230093, 2024 | 3 | 2024 |
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode E Nueve, B Waggoner, D Kimpara, J Finocchiaro arXiv preprint arXiv:2402.10818, 2024 | 1 | 2024 |
Proper Losses for Discrete Generative Models D Kimpara, R Frongillo, B Waggoner 40th International Conference on Machine Learning, 2023 | 1 | 2023 |
Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ... UnlinkableDataChallenge/round/358/entry/20533, 2018 | 1 | 2018 |
NCAR Community Research Earth Digital Intelligence Twin (CREDIT)(Core Science Keynote) DJ Gagne, J Schreck, WE Chapman, Y Sha, S McGinnis, A Kazadi, ... 105th AMS Annual Meeting, 2025 | | 2025 |
Community Research Earth Digital Intelligence Twin (CREDIT) J Schreck, Y Sha, W Chapman, D Kimpara, J Berner, S McGinnis, ... arXiv preprint arXiv:2411.07814, 2024 | | 2024 |
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications G Gantos, J Schreck, DJ Gagne, C Becker, WE Chapman, D Kimpara, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Explaining the Sources of Uncertainty in Machine Learning Winter Precipitation-Type Predictions C Becker, DJ Gagne, J Schreck, G Gantos, T Martin, D Kimpara, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Private Synthetic Data Generation via GANs (Supporting PDF) D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ... | | 2018 |
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification E Nueve, D Kimpara, B Waggoner, J Finocchiaro The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |