Caleb Robinson

90 papers A* 8A 1C 8Journal 58Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial. CoRR Caleb Robinson, Nils Lehmann, Adam J. Stewart, Burak Ekim, Heng Fang, Isaac A. Corley, Mauricio Cordeiro
2026	J	`jnl`	Core-Set Selection for Data-Efficient Land Cover Segmentation. IEEE Access Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2026	J	`jnl`	Fields of The World: A Field Guide for Extracting Agricultural Field Boundaries. CoRR Isaac Corley, Hannah Kerner, Caleb Robinson, Jennifer Marcus
2026	J	`jnl`	From Pixels to Patches: Pooling Strategies for Earth Embeddings. CoRR Isaac Corley, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres
2026	A*	`conf`	Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India. AAAI Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2026	J	`jnl`	PRUE: A Practical Recipe for Field Boundary Segmentation at Scale. CoRR Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan B. Avery, Lyndon D. Estes, Ana María Tárano, Nathan Jacobs, Hannah Kerner
2026	J	`jnl`	Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning. CoRR Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali, Allen Kim, Jonathan Chemla, Andrew Zolli, Yves Ubelmann, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres
2025	J	`jnl`	Core-Set Selection for Data-efficient Land Cover Segmentation. CoRR Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025	—	`conf`	Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. CVPR Workshops Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 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
2025	J	`jnl`	FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing. CoRR Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2025	A*	`conf`	Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. AAAI 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
2025	J	`jnl`	GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models. CoRR Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Geospatial Machine Learning Libraries. CoRR Adam J. Stewart, Caleb Robinson, Arindam Banerjee
2025	J	`jnl`	Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery. CoRR Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K. Nagaraju, James Oakleaf, Joseph Kiesecker, Juan M. Lavista Ferres
2025	—	`conf`	Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. TerraBytes Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. CoRR Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles Quentin Hacheme, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India. CoRR Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
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`	TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery. CoRR Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Andrew Zolli, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
2025	J	`jnl`	TorchGeo: Deep Learning With Geospatial Data. ACM Trans. Spatial Algorithms Syst. Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2025	—	`conf`	Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery. TerraBytes Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery. CoRR Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
2024	J	`jnl`	A Change Detection Reality Check. CoRR Isaac Corley, Caleb Robinson, Anthony Ortiz
2024	—	`conf`	Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. STAI@IJCAI Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024	J	`jnl`	Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024	J	`jnl`	Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
2024	J	`jnl`	Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. CoRR Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2024	J	`jnl`	Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR 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
2024	J	`jnl`	Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. CoRR Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
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: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. ICML Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
2024	—	`conf`	Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CVPR Workshops Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024	J	`jnl`	Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024	J	`jnl`	Sims: An Interactive Tool for Geospatial Matching and Clustering. CoRR Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G. Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
2024	C	`conf`	Weak Labeling for Cropland Mapping in Africa. IGARSS Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2024	J	`jnl`	Weak Labeling for Cropland Mapping in Africa. CoRR Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2023	J	`jnl`	Harnessing AI and robotics in humanitarian assistance and disaster response. Sci. Robotics Thomas Manzini, Robin R. Murphy, Eric T. Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
2023	J	`jnl`	Mask Conditional Synthetic Satellite Imagery. CoRR Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
2023	J	`jnl`	Open Data on GitHub: Unlocking the Potential of AI. CoRR Anthony Cintron Roman, Kevin Xu, Arfon M. Smith, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
2023	J	`jnl`	Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments. CoRR Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
2023	C	`conf`	Poverty rate prediction using multi-modal survey and earth observation data. COMPASS Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023	J	`jnl`	Poverty rate prediction using multi-modal survey and earth observation data. CoRR Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023	—	`conf`	Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. ICCV (Workshops) Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023	J	`jnl`	Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. CoRR Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023	J	`jnl`	Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2023	A*	`conf`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
2023	J	`jnl`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
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`	An Artificial Intelligence Dataset for Solar Energy Locations in India. CoRR 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
2022	—	`conf`	Fast building segmentation from satellite imagery and few local labels. CVPR Workshops Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022	J	`jnl`	Fast building segmentation from satellite imagery and few local labels. CoRR Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022	J	`jnl`	Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
2022	—	`conf`	On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. ICDM (Workshops) Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
2022	—	`ed.`	Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CDCEO@IJCAI Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi
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`	The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
2022	—	`conf`	TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2021	C	`conf`	Becoming Good at AI for Good. AIES Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021	J	`jnl`	Becoming Good at AI for Good. CoRR Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021	J	`jnl`	Detecting Cattle and Elk in the Wild from Space. CoRR Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
2021	C	`conf`	From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz
2021	J	`jnl`	Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
2021	J	`jnl`	High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. CoRR Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
2021	J	`jnl`	Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
2021	—	`conf`	Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021	J	`jnl`	Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021	C	`conf`	Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021	J	`jnl`	Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021	J	`jnl`	TorchGeo: deep learning with geospatial data. CoRR Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2020	A*	`conf`	Human-Machine Collaboration for Fast Land Cover Mapping. AAAI Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2020	A*	`conf`	Local Context Normalization: Revisiting Local Normalization. CVPR Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020	J	`jnl`	Mining self-similarity: Label super-resolution with epitomic representations. CoRR Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
2020	J	`jnl`	Model Generalization in Deep Learning Applications for Land Cover Mapping. CoRR Lucas Hu, Caleb Robinson, Bistra Dilkina
2020	J	`jnl`	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau
2020	C	`conf`	Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
2019	J	`jnl`	Human-Machine Collaboration for Fast Land Cover Mapping. CoRR Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2019	—	`conf`	Label super-resolution networks. ICLR (Poster) Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
2019	A*	`conf`	Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
2019	J	`jnl`	Local Context Normalization: Revisiting Local Normalization. CoRR Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
2019	J	`jnl`	Migration patterns under different scenarios of sea level rise. CoRR Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
2019	J	`jnl`	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
2018	C	`conf`	A Machine Learning Approach to Modeling Human Migration. COMPASS Caleb Robinson, Bistra Dilkina
2018	C	`conf`	Infrastructure Resilience for Climate Adaptation. COMPASS Amrita Gupta, Caleb Robinson, Bistra Dilkina
2018	—	`conf`	Toward a common object model for integrated transportation and land use models. SpringSim (ANSS) Caleb Robinson, John Crittenden, Zhongming Lu, Richard Fujimoto
2017	—	`conf`	A Deep Learning Approach for Population Estimation from Satellite Imagery. GeoHumanities@SIGSPATIAL Caleb Robinson, Fred Hohman, Bistra Dilkina
2017	J	`jnl`	A Deep Learning Approach for Population Estimation from Satellite Imagery. CoRR Caleb Robinson, Fred Hohman, Bistra Dilkina
2017	J	`jnl`	A Machine Learning Approach to Modeling Human Migration. CoRR Caleb Robinson, Bistra Dilkina
2016	—	`conf`	Network optimization of food flows in the U.S. IEEE BigData Caleb Robinson, Arezoo Shirazi, Mengmeng Liu, Bistra Dilkina