| The effect of large-scale anti-contagion policies on the COVID-19 pandemic S Hsiang, D Allen, S Annan-Phan, K Bell, I Bolliger, T Chong, ... Nature 584 (7820), 262-267, 2020 | 1740 | 2020 |
| Delayed impact of fair machine learning LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt International Conference on Machine Learning, 3150-3158, 2018 | 569 | 2018 |
| A generalizable and accessible approach to machine learning with global satellite imagery E Rolf, J Proctor, T Carleton, I Bolliger, V Shankar, M Ishihara, B Recht, ... Nature communications 12 (1), 4392, 2021 | 123 | 2021 |
| Satclip: Global, general-purpose location embeddings with satellite imagery K Klemmer, E Rolf, C Robinson, L Mackey, M Rußwurm arXiv preprint arXiv:2311.17179, 2023 | 41 | 2023 |
| Representation matters: Assessing the importance of subgroup allocations in training data E Rolf, TT Worledge, B Recht, M Jordan International Conference on Machine Learning, 9040-9051, 2021 | 39 | 2021 |
| A successive-elimination approach to adaptive robotic source seeking E Rolf, D Fridovich-Keil, M Simchowitz, B Recht, C Tomlin IEEE Transactions on Robotics, 2020 | 36* | 2020 |
| Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning E Rolf, M Simchowitz, S Dean, LT Liu, D Bjorkegren, M Hardt, ... International Conference on Machine Learning, 8158-8168, 2020 | 32 | 2020 |
| Position: Mission Critical–Satellite Data is a Distinct Modality in Machine Learning E Rolf, K Klemmer, C Robinson, H Kerner Forty-first International Conference on Machine Learning, 2024 | 26* | 2024 |
| Geographic location encoding with spherical harmonics and sinusoidal representation networks M Rußwurm, K Klemmer, E Rolf, R Zbinden, D Tuia arXiv preprint arXiv:2310.06743, 2023 | 19 | 2023 |
| Evaluation challenges for geospatial ML E Rolf arXiv preprint arXiv:2303.18087, 2023 | 13 | 2023 |
| Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy E Aiken, E Rolf, J Blumenstock arXiv preprint arXiv:2305.01783, 2023 | 11 | 2023 |
| Resolving label uncertainty with implicit posterior models E Rolf, N Malkin, A Graikos, A Jojic, C Robinson, N Jojic arXiv preprint arXiv:2202.14000, 2022 | 11 | 2022 |
| Post-estimation smoothing: A simple baseline for learning with side information E Rolf, MI Jordan, B Recht International Conference on Artificial Intelligence and Statistics, 1759-1769, 2020 | 11 | 2020 |
| Position: Application-Driven Innovation in Machine Learning D Rolnick, A Aspuru-Guzik, S Beery, B Dilkina, PL Donti, M Ghassemi, ... Forty-first International Conference on Machine Learning, 0 | 7* | |
| Reflections from the Workshop on AI-Assisted Decision Making for Conservation L Xu, E Rolf, S Beery, JR Bennett, T Berger-Wolf, T Birch, E Bondi-Kelly, ... arXiv preprint arXiv:2307.08774, 2023 | 5 | 2023 |
| Satellite images reveal untracked human activity on the oceans K Klemmer, E Rolf Nature 625 (7993), 31-32, 2024 | 4 | 2024 |
| Enhancing Wi-Fi Signal Strength of a Dynamic Heterogeneous System Using a Mobile Robot Provider E Rolf, M Whitlock, BC Min, ET Matson Robot Intelligence Technology and Applications 2: Results from the 2nd …, 2014 | 4 | 2014 |
| Striving for data-model efficiency: Identifying data externalities on group performance E Rolf, B Packer, A Beutel, F Diaz arXiv preprint arXiv:2211.06348, 2022 | 3 | 2022 |
| Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis I Bolliger, T Carleton, S Hsiang, J Kadish, J Proctor, B Recht, E Rolf, ... arXiv preprint arXiv:1710.09342, 2017 | 2 | 2017 |
| Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents L Gordon, E Rolf, M Tambe ECAI 2024, 3284-3291, 2024 | 1 | 2024 |
Ian BolligerClimate Data Scientist, Rhodium GroupVerified email at rhg.com
