An Online Prediction Framework for Non-Stationary Time Series. - Christopher Xie; Avleen Bijral; Juan M. Lavista Ferres (CoRR, 2016)

NonSTOP: A NonSTationary Online Prediction Method for Time Series. - Christopher Xie; Avleen Bijral; Juan M. Lavista Ferres (IEEE Signal Process. Lett., 2018)

On Dynamic Network Models and Application to Causal Impact. - Yu-Chia Chen; Avleen S. Bijral; Juan M. Lavista Ferres (KDD, 2019)

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India. - Anusua Trivedi; Sumit Mukherjee; Edmund Tse; Anne Ewing; Juan M. Lavista Ferres (CoRR, 2019)

Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. - Sumit Mukherjee; Nicholas Becker; William B. Weeks; Juan M. Lavista Ferres (ICMLA, 2020)

Protecting GANs against privacy attacks by preventing overfitting. - Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Juan M. Lavista Ferres (CoRR, 2020)

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. - Xiyang Liu; Yixi Xu; Sumit Mukherjee; Juan M. Lavista Ferres (CoRR, 2020)

Improving Lesion Detection by exploring bias on Skin Lesion dataset. - Anusua Trivedi; Sreya Muppalla; Shreyaan Pathak; Azadeh Mobasher; Pawel Janowski; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2020)

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. - Shimaa Baraka; Benjamin Akera; Bibek Aryal; Tenzing Chogyal Sherpa; Finu Shresta; Anthony Ortiz; Kris Sankaran; Juan M. Lavista Ferres; Mir Matin; Yoshua Bengio (CoRR, 2020)

A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network. - Jack LeBien; Ming Zhong 014; Marconi Campos-Cerqueira; Julian P. Velev; Rahul Dodhia; Juan M. Lavista Ferres; T. Mitchell Aide (Ecol. Informatics, 2020)

Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data. - Shahrzad Gholami; Narendran Kodandapani; Jane Wang; Juan M. Lavista Ferres (AAAI, 2021)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 2021)

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. - Caleb Robinson; Anthony Ortiz; Juan M. Lavista Ferres; Brandon R. Anderson; Daniel E. Ho (COMPASS, 2021)

Height Estimation of Children under Five Years using Depth Images. - Anusua Trivedi; Mohit Jain; Nikhil Kumar Gupta; Markus Hinsche; Prashant Singh; Markus Matiaschek; Tristan Behrens; Mirco Militeri; Cameron Birge; Shivangi Kaushik; Archisman Mohapatra; Rita Chatterjee; et al. (EMBC, 2021)

A machine learning pipeline for aiding school identification from child trafficking images. - Sumit Mukherjee; Tina Sederholm; Anthony C. Roman; Ria Sankar; Sherrie Caltagirone; Juan M. Lavista Ferres (GoodIT, 2021)

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. - Jean-François Rajotte; Sumit Mukherjee; Caleb Robinson; Anthony Ortiz; Christopher West; Juan M. Lavista Ferres; Raymond T. Ng (GoodIT, 2021)

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. - Meghana Kshirsagar 001; Nure Tasnina; Michael D. Ward; Jeffrey N. Law; T. M. Murali 001; Juan M. Lavista Ferres; Gregory R. Bowman; Judith Klein-Seetharaman (PSB, 2021)

U.S. Broadband Coverage Data Set: A Differentially Private Data Release. - Mayana Pereira; Allen Kim; Joshua Allen; Kevin White 007; Juan M. Lavista Ferres; Rahul Dodhia (CoRR, 2021)

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2021)

Detecting Cattle and Elk in the Wild from Space. - Caleb Robinson; Anthony Ortiz; Lacey Hughey; Jared A. Stabach; Juan M. Lavista Ferres (CoRR, 2021)

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. - Anusua Trivedi; Jocelyn Desbiens; Ron Gross; Sunil Gupta; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2021)

Interpretable and Explainable Machine Learning for Materials Science and Chemistry. - Felipe Oviedo; Juan M. Lavista Ferres; Tonio Buonassisi; Keith Butler (CoRR, 2021)

Acoustic detection of regionally rare bird species through deep convolutional neural networks. - Ming Zhong 014; Ruth Taylor; Naomi Bates; Damian Christey; Hari Basnet; Jennifer Flippin; Shane Palkovitz; Rahul Dodhia; Juan M. Lavista Ferres (Ecol. Informatics, 2021)

privGAN: Protecting GANs from membership inference attacks at low cost to utility. - Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Nabajyoti Patowary; Juan M. Lavista Ferres (Proc. Priv. Enhancing Technol., 2021)

Fast building segmentation from satellite imagery and few local labels. - Caleb Robinson; Anthony Ortiz; Hogeun Park; Nancy Lozano-Gracia; Jon Kher Kaw; Tina Sederholm; Rahul Dodhia; Juan M. Lavista Ferres (CVPR Workshops, 2022)

TorchGeo: deep learning with geospatial data. - Adam J. Stewart; Caleb Robinson; Isaac A. Corley; Anthony Ortiz; Juan M. Lavista Ferres; Arindam Banerjee 001 (SIGSPATIAL/GIS, 2022)

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. - Shahrzad Gholami; Caleb Robinson; Anthony Ortiz; Siyu Yang; Jacopo Margutti; Cameron Birge; Rahul Dodhia; Juan M. Lavista Ferres (ICDM (Workshops), 2022)

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. - Ivan S. Klyuzhin; Yixi Xu; Anthony Ortiz; Juan M. Lavista Ferres; Ghassan Hamarneh; Arman Rahmim (Comput. Methods Programs Biomed., 2022)

An Artificial Intelligence Dataset for Solar Energy Locations in India. - Anthony Ortiz; Dhaval Negandhi; Sagar R. Mysorekar; Joseph Kiesecker; Shivaprakash K. Nagaraju; Caleb Robinson; Priyal Bhatia; Aditi Khurana; Jane Wang; Felipe Oviedo; Juan M. Lavista Ferres (CoRR, 2022)

BankNote-Net: Open dataset for assistive universal currency recognition. - Felipe Oviedo; Srinivas Vinnakota; Eugene Seleznev; Hemant Malhotra; Saqib Shaikh; Juan M. Lavista Ferres (CoRR, 2022)

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery. - Md Nasir; Tina Sederholm; Anshu Sharma; Sundeep Reddy Mallu; Sumedh Ranjan Ghatage; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2022)

Mapping Glacial Lakes Using Historically Guided Segmentation Models. - Anthony Ortiz; Weiyushi Tian; Tenzing Chogyal Sherpa; Finu Shrestha; Mir Matin; Rahul Dodhia; Juan M. Lavista Ferres; Kris Sankaran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. - Caleb Robinson; Ben Chugg; Brandon R. Anderson; Juan M. Lavista Ferres; Daniel E. Ho (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Mace: A flexible framework for membership privacy estimation in generative models. - Yixi Xu; Sumit Mukherjee; Xiyang Liu; Shruti Tople; Rahul Dodhia; Juan M. Lavista Ferres (Trans. Mach. Learn. Res., 2022)

Poverty rate prediction using multi-modal survey and earth observation data. - Simone Fobi; Manuel Cardona 003; Elliott Collins; Caleb Robinson; Anthony Ortiz; Tina Sederholm; Rahul Dodhia; Juan M. Lavista Ferres (COMPASS, 2023)

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. - Caleb Robinson; Simone Fobi Nsutezo; Anthony Ortiz; Tina Sederholm; Rahul Dodhia; Cameron Birge; Kasie Richards; Kris Pitcher; Paulo Duarte; Juan M. Lavista Ferres (ICCV (Workshops), 2023)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo Hyun O; Carlos F. Uribe; Rahul Dodhia; Juan M. Lavista Ferres; Arman Rahmim (Image Processing, 2023)

How effective is multifactor authentication at deterring cyberattacks? - Lucas Augusto Meyer; Sergio Romero; Gabriele Bertoli; Tom Burt; Alex Weinert; Juan M. Lavista Ferres (CoRR, 2023)

Open Data on GitHub: Unlocking the Potential of AI. - Anthony Cintron Roman; Kevin Xu; Arfon M. Smith; Jehu Torres Vega; Caleb Robinson; Juan M. Lavista Ferres (CoRR, 2023)

Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic. - Mayana Pereira; Kevin T. Greene; Nilima Pisharody; Rahul Dodhia; Jacob N. Shapiro; Juan M. Lavista Ferres (CoRR, 2023)

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan M. Lavista Ferres; Rafael de Sousa (CoRR, 2023)

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. - Zalan Fabian; Zhongqi Miao; Chunyuan Li; Yuanhan Zhang; Ziwei Liu 002; Andrés Hernández; Andrés Montes-Rojas; Rafael Escucha; Laura Siabatto; Andrés Link; Pablo Arbeláez; Rahul Dodhia; et al. (CoRR, 2023)

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. - Shadab Ahamed; Yixi Xu; Claire Gowdy; Joo Hyun O; Ingrid Bloise; Don Wilson; Patrick Martineau; François Bénard; Fereshteh Yousefirizi; Rahul Dodhia; Juan M. Lavista Ferres; William B. Weeks; et al. (CoRR, 2023)

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments. - Anthony Cintron Roman; Jennifer Wortman Vaughan; Valerie See; Steph Ballard; Nicolas Schifano; Jehu Torres Vega; Caleb Robinson; Juan M. Lavista Ferres (CoRR, 2023)

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. - Yixi Xu; Ivan S. Klyuzhin; Sara Harsini; Anthony Ortiz; Shun Zhang; François Bénard; Rahul Dodhia; Carlos F. Uribe; Arman Rahmim; Juan M. Lavista Ferres (Comput. Biol. Medicine, 2023)

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. - Isaac Corley; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CVPR Workshops, 2024)

Weak Labeling for Cropland Mapping in Africa. - Gilles Quentin Hacheme; Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Stephen A. Wood (IGARSS, 2024)

Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. - Girmaw Abebe Tadesse; Caleb Robinson; Gilles Quentin Hacheme; Akram Zaytar; Rahul Dodhia; Tsering Wangyal Shawa; Juan M. Lavista Ferres; Emmanuel H. Kreike (STAI@IJCAI, 2024)

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. - Caleb Robinson; Isaac Corley; Anthony Ortiz; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CoRR, 2024)

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. - Akram Zaytar; Caleb Robinson; Gilles Quentin Hacheme; Girmaw Abebe Tadesse; Rahul Dodhia; Juan M. Lavista Ferres; Lacey F. Hughey; Jared A. Stabach; Irene Amoke (CoRR, 2024)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo H. O; Carlos F. Uribe; Rahul Dodhia; Juan M. Lavista Ferres; Arman Rahmim (CoRR, 2024)

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation. - Andrés Hernández; Zhongqi Miao; Luisa Vargas; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2024)

Mapping Global Floods with 10 Years of Satellite Radar Data. - Amit Misra; Kevin White 007; Simone Fobi Nsutezo; William Straka; Juan M. Lavista Ferres (CoRR, 2024)

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. - Girmaw Abebe Tadesse; Caleb Robinson; Charles Mwangi; Esther Maina; Joshua Nyakundi; Luana Marotti; Gilles Quentin Hacheme; Hamed Alemohammad; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2024)

Sims: An Interactive Tool for Geospatial Matching and Clustering. - Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Eduardo G. Bendito; Medha Devare; Meklit Chernet; Gilles Quentin Hacheme; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2024)

Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare. - William B. Weeks; Juan M. Lavista Ferres; James N. Weinstein (Frontiers Artif. Intell., 2024)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. - Hannah Kerner; Snehal Chaudhari; Aninda Ghosh; Caleb Robinson; Adeel Ahmad; Eddie Choi; Nathan Jacobs; Chris Holmes; Matthias Mohr; Rahul Dodhia; Juan M. Lavista Ferres; Jennifer Marcus (AAAI, 2025)

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. - Burak Ekim; Girmaw Abebe Tadesse; Caleb Robinson; Gilles Quentin Hacheme; Michael Schmitt 003; Rahul Dodhia; Juan M. Lavista Ferres (CVPR Workshops, 2025)

Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery. - Caleb Robinson; Kimberly T. Goetz; Christin B. Khan; Meredith Sackett; Kathleen Leonard; Rahul Dodhia; Juan M. Lavista Ferres (TerraBytes, 2025)

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. - Akram Zaytar; Caleb Robinson; Girmaw Abebe Tadesse; Gilles Quentin Hacheme; Tammy Glazer; Anthony Ortiz; Rahul Dodhia; Juan M. Lavista Ferres (TerraBytes, 2025)

Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications. - Amrita Gupta; Anthony Ortiz; Simone Fobi Nsutezo; Duncan Kebut; Seema Iyer; Rahul Dodhia; Juan M. Lavista Ferres (WACV (Workshops), 2025)

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery. - Simone Fobi Nsutezo; Amrita Gupta; Duncan Kebut; Seema Iyer; Luana Marotti; Rahul Dodhia; Juan M. Lavista Ferres; Anthony Ortiz (WACV, 2025)

Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach. - Girmaw Abebe Tadesse; Caleb Robinson; Charles Mwangi; Esther Maina; Joshua Nyakundi; Luana Marotti; Gilles Quentin Hacheme; Seyed Hamed Alemohammad; Rahul Dodhia; Juan M. Lavista Ferres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing. - Isaac Corley; Simone Fobi Nsutezo; Anthony Ortiz; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CoRR, 2025)

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery. - Caleb Robinson; Anthony Ortiz; Allen Kim; Rahul Dodhia; Andrew Zolli; Shivaprakash K. Nagaraju; James Oakleaf; Joseph Kiesecker; Juan M. Lavista Ferres (CoRR, 2025)

Using website referrals to identify unreliable content rabbit holes. - Kevin T. Greene; Mayana Pereira; Nilima Pisharody; Rahul Dodhia; Juan M. Lavista Ferres; Jacob N. Shapiro (Behav. Inf. Technol., 2025)

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models. - Gilles Quentin Hacheme; Girmaw Abebe Tadesse; Caleb Robinson; Akram Zaytar; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India. - Ando Shah; Rajveer Singh; Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Negar Tafti; Stephen A. Wood; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

How good are humans at detecting AI-generated images? Learnings from an experiment. - Thomas Roca; Anthony Cintron Roman; Jehu Torres Vega; Marcelo Duarte; Pengce Wang; Kevin White 007; Amit Misra; Juan M. Lavista Ferres (CoRR, 2025)

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality. - Yixi Xu; Al-Rahim Habib; Graeme Crossland; Hemi Patel; Chris Perry; Kris Bock; Tony Lian; William B. Weeks; Rahul Dodhia; Juan M. Lavista Ferres; Narinder Pal Singh (CoRR, 2025)

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade. - Will Fein; Ryan J. Horwitz; John E. Brown III; Amit Misra; Felipe Oviedo; Kevin White 007; Juan M. Lavista Ferres; Samuel K. Wasser (CoRR, 2025)

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute. - Felipe Oviedo; Fiodar Kazhamiaka; Esha Choukse; Allen Kim; Amy Luers; Melanie Nakagawa; Ricardo Bianchini; Juan M. Lavista Ferres (CoRR, 2025)

AI Diffusion in Low Resource Language Countries. - Amit Misra; Syed Waqas Zamir; Wassim Hamidouche; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2025)

Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage. - Amit Misra; Jane Wang; Scott McCullers; Kevin White 007; Juan M. Lavista Ferres (CoRR, 2025)

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery. - Tammy Glazer; Gilles Quentin Hacheme; Akram Zaytar; Luana Marotti; Amy Michaels; Girmaw Abebe Tadesse; Kevin White 007; Rahul Dodhia; Andrew Zolli; Inbal Becker-Reshef; Juan M. Lavista Ferres; Caleb Robinson (CoRR, 2025)

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India. - Ando Shah; Rajveer Singh; Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Negar Tafti; Stephen A. Wood; Rahul Dodhia; Juan M. Lavista Ferres (AAAI, 2026)

Core-Set Selection for Data-Efficient Land Cover Segmentation. - Keiller Nogueira; Akram Zaytar; Wanli Ma 001; Ribana Roscher; Ronny Hänsch; Caleb Robinson; Anthony Ortiz; Simone Fobi; Rahul Dodhia; Juan M. Lavista Ferres; Oktay Karakus; Paul L. Rosin (IEEE Access, 2026)

The Microsoft-Northwestern-WITNESS Benchmark for Deepfake Detection. - Thomas Roca; Marco Postiglione; Chongyang Gao; Isabel Gortner; Zuzanna Wojciak; Pengce Wang; Mahsa Alimardani; Shirin Anlen; Kevin White 007; Juan M. Lavista Ferres; Sarit Kraus; Sam Gregory; et al. (IEEE Intell. Syst., 2026)

BYOL: Bring Your Own Language Into LLMs. - Syed Waqas Zamir; Wassim Hamidouche; Boulbaba Ben Amor; Luana Marotti; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2026)

Media Integrity and Authentication: Status, Directions, and Futures. - Jessica Young; Sam Vaughan; Andrew Jenks; Henrique S. Malvar; Christian Paquin; Paul England; Thomas Roca; Juan M. Lavista Ferres; Forough Poursabzi-Sangdeh; Neil Coles; Ken Archer; Eric Horvitz (CoRR, 2026)

Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning. - Girmaw Abebe Tadesse; Titien Bartette; Andrew Hassanali; Allen Kim; Jonathan Chemla; Andrew Zolli; Yves Ubelmann; Caleb Robinson; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2026)

From Pixels to Patches: Pooling Strategies for Earth Embeddings. - Isaac Corley; Caleb Robinson; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2026)

GeoAI Agency Primitives. - Akram Zaytar; Rohan Sawahn; Caleb Robinson; Gilles Quentin Hacheme; Girmaw Abebe Tadesse; Inbal Becker-Reshef; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2026)

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design. - Meghana Kshirsagar 001; Allen Nie; Ching-An Cheng; Fanglei Xue; Rahul Dodhia; Juan M. Lavista Ferres; Kevin K. Yang; Frank DiMaio (CoRR, 2026)

WATCH: Wide-Area Archaeological Site Tracking for Change Detection. - Girmaw Abebe Tadesse; Titien Bartette; Andrew Hassanali; Allen Kim; Jonathan Chemla; Andrew Zolli; Yves Ubelmann; Caleb Robinson; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2026)

The first global agricultural field boundary map at 10m resolution. - Caleb Robinson; Gedeon Muhawenayo; Subash Khanal; Zhanpei Fang; Isaac Corley; Ana María Tárano; Lyndon D. Estes; Jennifer Marcus; Nathan Jacobs; Hannah Kerner; Inbal Becker-Reshef; Juan M. Lavista Ferres (CoRR, 2026)

A strongly annotated passive acoustic dataset for tropical bird monitoring. - Daniela Ruiz; Juan Sebastian Ulloa; Zhongqi Miao; Nicolás Betancourt; Maria Paula Toro-Gómez; Andrés Hernández; Bruno Demuro; Eliana Barona-Cortés; Angela Mendoza-Henao; Andrés Sierra-Ricaurte; Sebastián Pérez-Peña; Rahul Dodhia; et al. (CoRR, 2026)