Esther Rolf

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Remotely Sensed

Satellite Imagery

Spherical Harmonics

Data Collection

Top Venues

IEEE Trans. Robotics

Publications

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR (2024)
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
Application-Driven Innovation in Machine Learning. CoRR (2024)
Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. ICLR (2024)
Esther Rolf
Evaluation Challenges for Geospatial ML. CoRR (2023)
Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. CoRR (2023)
Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR (2023)
Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. IJCAI (2023)
Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. CoRR (2023)
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
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? CoRR (2022)
Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz
Striving for data-model efficiency: Identifying data externalities on group performance. CoRR (2022)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. UAI (2022)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. CoRR (2022)
Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. CoRR (2021)
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
A Successive-Elimination Approach to Adaptive Robotic Source Seeking. IEEE Trans. Robotics 37 (1) (2021)
Esther Rolf, Theodora T. Worledge, Benjamin Recht, Michael I. Jordan
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. ICML (2021)
Esther Rolf, Michael I. Jordan, Benjamin Recht
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. AISTATS (2020)
Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, Solomon Hsiang
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. CoRR (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR (2020)
Esther Rolf, Michael I. Jordan, Benjamin Recht
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. CoRR (2020)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. IJCAI (2019)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. ICML (2018)
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR (2018)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. CoRR (2018)
Ian Bolliger, Tamma Carleton, Solomon Hsiang, Jonathan Kadish, Jonathan Proctor, Benjamin Recht, Esther Rolf, Vaishaal Shankar
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis. CoRR (2017)
Esther Rolf, Matt Whitlock, Byung-Cheol Min, Eric T. Matson
Enhancing Wi-Fi Signal Strength of a Dynamic Heterogeneous System Using a Mobile Robot Provider. RiTA (2013)