publications

Together with a range of amazing co-authors, I have published

  • 40+ Publications including conference papers, journal articles, and preprints
  • 15+ Conference Papers at top-tier venues (ICCV, CVPR, NeurIPS, AAAI, IJCAI, ECML)
  • 10+ Journal Publications in high-impact journals (JAIR, EJOR, POM, BISE, IEEE GRSM)
  • 1200+ Citations on Google Scholar
  • h-index: 17
  • Best Paper Award at HHAI 2023
  • Best Paper Nomination at WI 2023

For a complete and up-to-date list of publications, please visit my Google Scholar profile.

I also contribute to various communities as reviewer, associate editor, and track chair including conferences like NeurIPS, AAAI, ECML, and journals like the Journal of Artificial Intelligence Research.

🌟 Recent Highlighted Publications

TerraMind: Large-scale Generative Multimodality for Earth Observation

Jakubik, J.*, Yang, F.*, Blumenstiel, B.*, Scheurer, E., Sedona, R., Maurogiovanni, S., … & Longépé, N. (2025). ICCV 2025 | Paper | Website | Code | HuggingFace

Large-scale multimodal foundation model for Earth observation combining vision and language understanding.

TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation

Puriy, N.*, Jakubik, J.*, Blumenstiel, B., Schindler, K. (2026). arXiv preprint | Paper

Novel approach to multimodal, multitemporal learning for Earth observation with temporal training objectives.

Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences

Lingsch, L., Kissas, G., Jakubik, J., Mishra, S. (2026). arXiv preprint | Paper | Website | Code

Novel approach to discrete tokenization for physical sciences data, enabling high-fidelity reconstruction.

Quantizing Space and Time: Fusing Time Series and Images for Earth Observation

Basile, G., Jakubik, J., Blumenstiel, B., Brunschwiler, T., Moreno, JB. (2025). arXiv preprint | Paper

Task-agnostic framework for multimodal fusion of time series and images for Earth observation.

Partial Recovery of Meter-Scale Surface Weather

Giezendanner, J., Yang, Q., Schmitt, E., Chandra, A., Civitarese, DS, Jakubik, J., … (2026). arXiv preprint | Paper

Deep learning-based super-resolution framework for downscaling coarse-resolution weather forecasts to meter-scale resolution.

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

Yang, Q., Giezendanner, J., Civitarese, DS, Jakubik, J., Schmitt, E., Chandra, A., Vila, J., Hohl, D., Hill, C., Watson, C., Wang, S. (2025). Journal of Advances in Modeling Earth Systems | Paper

Multi-modal Earth observation framework for weather forecasting in off-grid and remote locations.

đź“š Overview on my publications

Foundation Models for Generalist Geospatial Artificial Intelligence Jakubik, J., Roy, S., Phillips, CE, Fraccaro, P., Godwin, D., Zadrozny, B., et al. (2023). arXiv preprint | Paper | Citations: 267

Data-centric Artificial Intelligence Jakubik, J., Vössing, M., Kühl, N., Walk, J., Satzger, G. (2022). Business & Information Systems Engineering (BISE) | Paper | Citations: 157

Reinforcement Learning for Opportunistic Maintenance Optimization KĂĽhne, A., Jakubik, J., Lanza, G. (2019). Production Engineering 13 (1), 33-41 | Citations: 108

Forming Effective Human-AI Teams Hemmer, P., Schellhammer, S., Vössing, M., Jakubik, J., Satzger, G. (2022). IJCAI 2022 | Paper | Code | Citations: 74

TerraMind: Large-scale Generative Multimodality for Earth Observation Jakubik, J.*, Yang, F.*, Blumenstiel, B.*, Scheurer, E., Sedona, R., Maurogiovanni, S., et al. (2025). ICCV 2025 | Paper | Website | Code | Citations: 62

Prithvi wxc: Foundation Model for Weather and Climate Schmude, J., Roy, S., Trojak, W., Jakubik, J., Civitarese, DS, Singh, S., et al. (2024). arXiv preprint | Paper | Citations: 59

Directed Particle Swarm Optimization with Gaussian-Process-Based Function Forecasting Jakubik, J., Binding, A., Feuerriegel, S. (2021). European Journal of Operational Research (EJOR) | Paper | Citations: 42

Learning to Defer with Limited Expert Predictions Hemmer, P., Thede, L., Vössing, M., Jakubik, J., Kühl, N. (2023). AAAI 2023 | Paper | Code | Citations: 38

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation Mukkavilli, SK, Civitarese, DS, Schmude, J., Jakubik, J., Jones, A., Nguyen, N., et al. (2023). arXiv preprint | Paper | Citations: 38

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation Blumenstiel, B.*, Jakubik, J.*, Kühne, H., Vössing, M. (2023). NeurIPS 2023 | Paper | Website | Code | Citations: 37 * denotes shared first authorship

Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks Jakubik, J., Nazemi, A., Geyer-Schulz, A., Fabozzi, FJ. (2022). Quantitative Finance | Paper | Citations: 31

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making Schoeffer, J., Jakubik, J., Voessing, M., Kuehl, N., Satzger, G. (2023). The Second International Conference on Hybrid Human-Artificial Intelligence | Citations: 30

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making Jakubik, J., Schöffer, J., Hoge, V., Vössing, M., Kühl, N. (2022). Proceedings of the European Conference on Machine Learning and Principles | Citations: 29

Data-driven Allocation of Development Aid Toward Sustainable Development Goals Jakubik, J., Feuerriegel, S. (2022). Production and Operations Management (POM) | Paper | Citations: 21

Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Jakubik, J., Weber, D., Hemmer, P., Vössing, M., Satzger, G. (2023). Proceedings of the International Conference on Wirtschaftsinformatik 2023 | Citations: 20

AI Reliance and Decision Quality: Fundamentals, Interdependence, and Effects of Interventions Schoeffer, J., Jakubik, J., Voessing, M., KĂĽhl, N., Satzger, G. (2025). Journal of Artificial Intelligence Research (JAIR) | Paper | Citations: 17

Navigating the Synthetic Realm: Harnessing Diffusion-Based Models for Laparoscopic Text-to-Image Generation Allmendinger, S., Hemmer, P., Queisner, M., Sauer, I., MĂĽller, L., Jakubik, J., et al. (2024). AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health | Citations: 13

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation Jakubik, J., Muszynski, M., Vössing, M., Kühl, N., Brunschwiler, T. (2023). IGARSS 2023 | Citations: 12

Designing a Human-in-the-Loop System for Object Detection in Floor Plans Jakubik, J., Hemmer, P., Vössing, M., Blumenstiel, B., Bartos, A., Mohr, K. (2022). AAAI 2022 | Paper | Citations: 11

Sanitizing Data for Analysis: Designing Systems for Data Understanding Holstein, J., Schemmer, M., Jakubik, J., Vössing, M., Satzger, G. (2023). Electronic Markets | Paper | Citations: 11

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation Marimo, CT, Blumenstiel, B., Nitsche, M., Jakubik, J., Brunschwiler, T. (2025). ECML 2025 | Paper | Citations: 10

Lossy Neural Compression for Geospatial Analytics: A Review Gomes, C., Wittmann, I., Robert, D., Jakubik, J., Reichelt, T., Maurogiovanni, S., et al. (2025). IEEE Geoscience and Remote Sensing Magazine | Citations: 9

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data Blumenstiel, B., Fraccaro, P., Marsocci, V., Jakubik, J., Maurogiovanni, S., Czerkawski, M., et al. (2025). CVPR 2025 (EarthVision Workshop) | Paper | Citations: 9

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning Jakubik, J., Blumenstiel, B., Vössing, M., Hemmer, P. (2022). Proceedings of the International Conference on Wirtschaftsinformatik 2022 | Citations: 8

Multi-modal Graph Neural Networks for Localized Off-Grid Weather Forecasting Yang, Q., Giezendanner, J., Civitarese, DS, Jakubik, J., Schmitt, E., Chandra, A., et al. (2024). arXiv preprint | Citations: 7

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data Yang, Q., Giezendanner, J., Civitarese, DS, Jakubik, J., Schmitt, E., Chandra, A., et al. (2025). Journal of Advances in Modeling Earth Systems | Citations: 7

Explainability in AI-Based Applications–A Framework for Comparing Different Techniques Grobrügge, A., Mishra, N., Jakubik, J., Satzger, G. (2024). 2024 26th International Conference on Business Informatics (CBI) | Citations: 7

Surya: Foundation Model for Heliophysics Roy, S., Schmude, J., Lal, R., Gaur, V., Freitag, M., Kuehnert, J., van Kessel, T., et al. (2025). arXiv preprint | Paper | Citations: 6

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space Avilés, RG, Schelberreif, L., Braham, NAA, Blumenstiel, B., Jakubik, J., Brunschwiler, T., et al. (2025). arXiv preprint | Paper | Citations: 5

Finetuning the Geospatial Foundation Model for Land Cover Mapping Lambhate, D., Jain, A., Das, K., Bangalore, R., Jakubik, J., Zadrozny, B. (2024). KDD 2025 (Fragile Earth) | Citations: 2

Design & Operating Point Dependent Surrogate Models for PMSM Digel, C., Jux, B., Jakubik, J., Breining, P., Doppelbauer, M. (2023). Elektromechanische Antriebssysteme 2023 | Citations: 2

A Summer School Session on Mastering Geospatial Artificial Intelligence Maskey, M., Cavallaro, G., Heras, DB, Fraccaro, P., Edwards, B., Gurung, I., Jakubik, J., et al. (2023). IEEE Geoscience and Remote Sensing Magazine | Citations: 2

Unsupervised Domain Adaptation for Geospatial Semantic Segmentation Jakubik, J., Muszynski, M., Vössing, M., Kühl, N., Brunschwiler, T. (2023). American Geophysical Union (AGU) | Citations: 2

Improving Label Error Detection and Elimination with Uncertainty Quantification Jakubik, J., Vössing, M., Maskey, M., Wölfle, C., Satzger, G. (2024). Journal of Artificial Intelligence Research (JAIR) | Paper | Citations: 1

Compress Once, Decode Anywhere: Embedding Workflows with TerraTorch Zadrozny, B., Wittmann, I., de Sousa Almeida, JL, Jakubik, J., Brunschwiler, T., et al. (2025). AGU 2025 | Citations: 1

FAST-EO: Multi-Modal Foundation Models for Scalable Earth Observation and Earth Sciences Kuzu, RS, Brunschwiler, T., Cavallaro, G., Nalepa, J., Dumitru, CO, Jakubik, J., et al. (2025). arXiv preprint | Citations: 1

Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement MĂĽller, L., Hemmer, P., Queisner, M., Sauer, I., Allmendinger, S., Jakubik, J., et al. (2024). AAAI 2024 | Paper | Citations: 1 TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation Puriy, N., Jakubik, J., Blumenstiel, B., Schindler, K. (2026).
arXiv preprint arXiv:2603.12762

How To Embed Matters: Evaluation of EO Embedding Design Choices Glich, L., Wittmann, I., Nitsche, M., Jakubik, J., Ewald, A., Brunschwiler, T. (2026).
arXiv preprint arXiv:2603.10658

Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind Leonardi, JA, Jakubik, J., Fraccaro, P., Brovelli, MA. (2026).
ICLR’26 (ML4RS)

Partial Recovery of Meter-Scale Surface Weather Giezendanner, J., Yang, Q., Schmitt, E., Chandra, A., Civitarese, DS, Jakubik, J., et al. (2026).
arXiv preprint arXiv:2602.23146

Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences Lingsch, L., Kissas, G., Jakubik, J., Mishra, S. (2026).
arXiv preprint arXiv:2602.03915

Downscaling Weather at Arbitrary Locations with Earth Observation Data Yang, Q., Giezendanner, J., Civitarese, DS, Jakubik, J., Schmitt, E., Chandra, A., et al. (2025).
AGU25

Calibrated Probabilistic Wind Forecasting with Diffusion Models Yang, Q., Giezendanner, J., Civitarese, DS, Jakubik, J., Schmitt, E., Chandra, A., et al. (2025).
AGU25

From Pixels to Patterns: TerraMind at Meter Resolution with Weather Context Jakubik, J., Blumenstiel, B., Brunschwiler, T., Fraccaro, P., Watson, C., Moreno, J., et al. (2025).
AGU’25

Multi-Modal Artificial Intelligence Systems Mishra, N., Jakubik, J., Spitzer, P., Satzger, G. (2025).
Available at SSRN 6135468

Sensitivity Analysis for Climate Science with Generative Flow Models Dobra, A., Pidstrigach, J., Reichelt, T., Fraccaro, P., Jones, A., Jakubik, J., et al. (2025).
NeurIPS 2025 (ClimateChangeAI)

Leveraging Neural Compression for Earth Observation Wittmann, I., Jakubik, J., Gomes, C., Blumenstiel, B., Brunschwiler, T., et al. (2025).
EGU’25

Spectral Super-Resolution for Greenhouse Gas Detection Gonzalez, R., Blumenstiel, B., Bangalore, R., Braham, NAA, Jakubik, J., et al. (2025).
EGU’25

FAST-EO: Transforming Earth Observation Through Multi-Modal Foundation Models Kuzu, RS, Brunschwiler, T., Cavallaro, G., Nalepa, J., Dumitru, CO, et al. (2025).
EGU’25

Scalable Efficient Compression in Large-Scale Earth Observation Scheurer, E., Wang, J., Sedona, R., Maurogiovanni, S., Blumenstiel, B., et al. (2025).
EGU General Assembly Conference Abstracts, EGU25-19016

Localized Wind Forecasting Powered by Foundation Models Yang, Q., Giezendanner, J., Wang, S., Hill, CN, Watson, C., Salles Civitarese, D., et al. (2024).
AGU Fall Meeting Abstracts 2024, GC22A-01

Multi-modal Fusion for Localized Wind Forecasting Wang, S., Giezendanner, J., Yang, Q., Schmitt, E., Salles Civitarese, D., et al. (2024).
AGU Fall Meeting Abstracts 2024, NH41A-02

Downstream Applications on Prithvi WxC: A Foundation Model for Weather and Climate Schmude, J., Roy, S., Jones, A., Jakubik, J., Kuehnert, J., Singh, S., et al. (2024).
AGU Fall Meeting Abstracts 2024, IN51B-01

Towards Multi Modal Geospatial Foundation Models With Multiple Resolutions Simumba, N., Jakubik, J., Blumenstiel, B., Fraccaro, P. (2024).
AGU Fall Meeting Abstracts 2024 (4), IN53D-04

Geospatial Foundation Model by Diversified Data Kimura, D., Simumba, N., Freitag, M., Schmude, J., Chu, L., Szwarcman, D., et al. (2024).
Meeting on Image Recognition and Understanding

Foundation Models in Earth Science and Remote Sensing Jakubik, J. (2024).
Platform for Advanced Scientific Computing Conference

Data-centric Artificial Intelligence: Foundations and Methods for Deep Learning Jakubik, J. (2024).
Karlsruher Institut fĂĽr Technologie (KIT)

Assessing Performance of a Foundation Model for Multi-Label Image Classification of Satellite Imagery Ahmadi, M., Khallaghi, S., Cecil, M., Roy, S., Jakubik, J., Fraccaro, P., et al. (2023).
AGU Fall Meeting Abstracts 2023 (422), IN51C-0422

Exploring Effectiveness of Foundation Models for Downstream Applications on Satellite Data Alemohammad, H., Li, H., Cecil, M., Khallaghi, S., Godwin, D., Ahmadi, M., et al. (2023).
AGU Fall Meeting Abstracts 2023, IN54A-05

Evaluating Foundation Models for Crop Type Segmentation Using Multi-temporal Multi-spectral Satellite Imagery Khallaghi, S., Li, H., Cecil, M., Kordi, F., Roy, S., Jakubik, J., Fraccaro, P., et al. (2023).
AGU Fall Meeting Abstracts 2023, IN53A-06

Comparative Analysis of Vision Transformer and CGAN Models for Cloud Gap Filling in Time Series of Satellite Images Godwin, D., Cecil, M., Li, H., Roy, S., Jakubik, J., Fraccaro, P., Alemohammad, H. (2023).
AGU Fall Meeting Abstracts 2023, GC21A-07

Burn Scar Detection Leveraging a Harmonized Landsat and Sentinel-2 Foundation Model Phillips, CE, Roy, S., Jakubik, J., Zadrozny, B., Fraccaro, P., Ramachandran, R., et al. (2023).
AGU Fall Meeting Abstracts 2023 (441), IN51C-0441

Foundation Models for Science: An Open Collaborative Initiative Ramachandran, R., Gurung, I., Ramasubramanian, M., Roy, S., Phillips, CE, et al. (2023).
AGU Fall Meeting Abstracts 2023, IN53A-01

NASA-IBM HLS Foundation Model - Image Segmentation by Foundation Model Finetuning Jakubik, J., Chu, L., Fraccaro, P., Bangalore, R., Lambhate, D., Das, K., et al. (2023).
https://github.com/nasa-impact/hls-foundation-os

Fine-tuning a Geospatial Foundation Model for Environmental Impact Monitoring Tasks Zadrozny, B., Bangalore, R., Das, K., Fraccaro, P., Gomes, C., Jakubik, J., et al. (2023).
American Geophysical Union (AGU)

Evaluation of Surya, a Heliophysics Foundation Model, Using a Wide Range of Downstream Applications Muñoz-Jaramillo, A., Bahauddin, S., da Silva, D., Hegde, DV, Hong, J., et al. (2025).
AGU25

Surya: Foundation Model for Heliophysics using SDO Data Roy, S., Schmude, J., Lal, R., Gaur, V., Freitag, M., Kuehnert, J., van Kessel, T., et al. (2025).
AGU25

AI Foundation Models for Observational and Gridded Data Across Scales Schmude, J., Jakubik, J., Civitarese, DS, Singh, S., Roy, S., Maskey, M., et al. (2025).
AGU25

Supplementary Material What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation Blumenstiel, B., Jakubik, J., Kühne, H., Vössing, M. (2023).