Esther Rolf - RankMe

43 papers A* 10A 3Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas. J. Mach. Learn. Res. Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies
2026	A*	`conf`	Mapping on a Budget: Optimizing Spatial Data Collection for ML. AAAI Livia Betti, Farooq Sanni, Gnouyaro Sogoyou, Togbe Agbagla, Cullen Molitor, Tamma Carleton, Esther Rolf
2025	—	`conf`	Classification Drives Geographic Bias in Street Scene Segmentation. CVPR Workshops Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner
2025	J	`jnl`	How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? CoRR Mirali Purohit, Gedeon Muhawenayo, Esther Rolf, Hannah Kerner
2025	J	`jnl`	Mapping on a Budget: Optimizing Spatial Data Collection for ML. CoRR Livia Betti, Farooq Sanni, Gnouyaro Sogoyou, Togbe Agbagla, Cullen Molitor, Tamma Carleton, Esther Rolf
2025	J	`jnl`	Measuring the Intrinsic Dimension of Earth Representations. CoRR Arjun Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf
2025	A*	`conf`	SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. AAAI Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
2025	J	`jnl`	Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery. CoRR Arjun Rao, Esther Rolf
2025	—	`conf`	Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery. TerraBytes Arjun Rao, Esther Rolf
2024	J	`jnl`	Application-Driven Innovation in Machine Learning. CoRR David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024	J	`jnl`	Classification Drives Geographic Bias in Street Scene Segmentation. CoRR Rahul Nair, Gabriel Tseng, Esther Rolf, Bhanu Tokas, Hannah Kerner
2024	A	`conf`	Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. ECAI Lucia Gordon, Esther Rolf, Milind Tambe
2024	J	`jnl`	Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. CoRR Lucia Gordon, Esther Rolf, Milind Tambe
2024	J	`jnl`	Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas. CoRR Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies
2024	A*	`conf`	Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. ICLR Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
2024	J	`jnl`	Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
2024	A*	`conf`	Position: Application-Driven Innovation in Machine Learning. ICML David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024	A*	`conf`	Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. ICML Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
2023	J	`jnl`	Evaluation Challenges for Geospatial ML. CoRR Esther Rolf
2023	A*	`conf`	Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. IJCAI Emily L. Aiken, Esther Rolf, Joshua Blumenstock
2023	J	`jnl`	Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. CoRR Emily L. Aiken, Esther Rolf, Joshua Blumenstock
2023	J	`jnl`	Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. CoRR Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
2023	J	`jnl`	Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
2023	J	`jnl`	SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
2022	J	`jnl`	Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? CoRR Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock
2022	—	`—`	Incorporating Intent, Impact, and Context for Beneficial Machine Learning Esther Rolf
2022	A	`conf`	Resolving label uncertainty with implicit posterior models. UAI Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
2022	J	`jnl`	Resolving label uncertainty with implicit posterior models. CoRR Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
2022	J	`jnl`	Striving for data-model efficiency: Identifying data externalities on group performance. CoRR Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz
2021	J	`jnl`	A Successive-Elimination Approach to Adaptive Robotic Source Seeking. IEEE Trans. Robotics Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
2021	A*	`conf`	Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. ICML Esther Rolf, Theodora T. Worledge, Benjamin Recht, Michael I. Jordan
2021	J	`jnl`	Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. CoRR Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan
2020	J	`jnl`	A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. CoRR Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, Solomon Hsiang
2020	A*	`conf`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	A	`conf`	Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. AISTATS Esther Rolf, Michael I. Jordan, Benjamin Recht
2020	J	`jnl`	Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. CoRR Esther Rolf, Michael I. Jordan, Benjamin Recht
2019	A*	`conf`	Delayed Impact of Fair Machine Learning. IJCAI Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
2018	A*	`conf`	Delayed Impact of Fair Machine Learning. ICML Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Delayed Impact of Fair Machine Learning. CoRR Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2017	J	`jnl`	Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis. CoRR Ian Bolliger, Tamma Carleton, Solomon Hsiang, Jonathan Kadish, Jonathan Proctor, Benjamin Recht, Esther Rolf, Vaishaal Shankar
2013	—	`conf`	Enhancing Wi-Fi Signal Strength of a Dynamic Heterogeneous System Using a Mobile Robot Provider. RiTA Esther Rolf, Matt Whitlock, Byung-Cheol Min, Eric T. Matson