Esther Rolf
13 papers · 2018–2026 · 7 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)
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Century Club · Bronze
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Unstoppable · Bronze
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Machine Learning
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satellite imagery
(4)
transfer learning
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static classification
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temporal modeling
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training data
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fairness criterion
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remote sensing
(1)
fairness metric
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weakly supervised learning
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spatial data
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multi-objective optimization
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vision-language model
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noisy label
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spherical harmonics
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domain adaptation
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demographic parity
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fair machine learning
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distribution shift
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pareto frontier
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side information
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Papers
Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas
JMLR 2026
Mapping on a Budget: Optimizing Spatial Data Collection for ML
AAAI 2026
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
AAAI 2025
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
ICLR 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
ICML 2024
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy
IJCAI 2023
Resolving label uncertainty with implicit posterior models
UAI 2022
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
ICML 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
AISTATS 2020
Delayed Impact of Fair Machine Learning
IJCAI 2019
Delayed Impact of Fair Machine Learning
ICML 2018