Johannes Jakubik

According to our database, Johannes Jakubik authored at least 31 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Gianfranco Basile, Johannes Jakubik, Benedikt Blumenstiel, Thomas Brunschwiler, Juan Bernabé-Moreno

CoRR, October, 2025

Surya: Foundation Model for Heliophysics.

Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, August, 2025

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space.

Ruben Gonzalez Avilés, Linus Scheibenreif, Nassim Ait Ali Braham, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini B. Guruprasad, Damian Borth, Conrad M. Albrecht, Paolo Fraccaro, Devyani Lambhate, Johannes Jakubik

CoRR, April, 2025

TerraMind: Large-Scale Generative Multimodality for Earth Observation.

Johannes Jakubik, Felix Yang, Benedikt Blumenstiel, Erik Scheurer, Rocco Sedona, Stefano Maurogiovanni, Jente Bosmans, Nikolaos Dionelis, Valerio Marsocci, Niklas Kopp, Rahul Ramachandran, Paolo Fraccaro, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernabé-Moreno, Nicolas Longépé

CoRR, April, 2025

Lossy Neural Compression for Geospatial Analytics: A Review.

Carlos Gomes, Isabelle Wittmann, Damien Robert, Johannes Jakubik, Tim Reichelt, Michele Martone, Stefano Maurogiovanni, Rikard Vinge, Jonas Hurst, Erik Scheurer, Rocco Sedona, Thomas Brunschwiler, Stefan Kesselheim, Matej Batic, Philip Stier, Jan Dirk Wegner, Gabriele Cavallaro, Edzer J. Pebesma, Michael Marszalek, Miguel Angel Belenguer-Plomer, Kennedy Adriko, Paolo Fraccaro, Romeo Kienzler, Rania Briq, Sabrina Benassou, Michele Lazzarini, Conrad M. Albrecht

CoRR, March, 2025

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions.

Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger

J. Artif. Intell. Res., 2025

Improving Label Error Detection and Elimination with Uncertainty Quantification.

Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger

J. Artif. Intell. Res., 2025

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation.

Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data.

Benedikt Blumenstiel, Paolo Fraccaro, Valerio Marsocci, Johannes Jakubik, Stefano Maurogiovanni, Mikolaj Czerkawski, Rocco Sedona, Gabriele Cavallaro, Thomas Brunschwiler, Juan Bernabé-Moreno, Nicolas Longépé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Data-Centric Artificial Intelligence.

Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger

Bus. Inf. Syst. Eng., August, 2024

Data-centric artificial intelligence: foundations and methods for deep learning.

Johannes Jakubik

PhD thesis, 2024

Multi-modal graph neural networks for localized off-grid weather forecasting.

Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang

CoRR, 2024

Prithvi WxC: Foundation Model for Weather and Climate.

Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, 2024

Explainability in AI-Based Applications - A Framework for Comparing Different Techniques.

Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, Gerhard Satzger

Proceedings of the 26th International Conference on Business Informatics, 2024

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages.

Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sanitizing data for analysis: Designing systems for data understanding.

Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger

Electron. Mark., December, 2023

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation.

Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl

CoRR, 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran

CoRR, 2023

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.

S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam

CoRR, 2023

Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts.

Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger

Proceedings of the Digital Responsibility: Social, 2023

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation.

Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation.

Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler.

Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.

Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Learning to Defer with Limited Expert Predictions.

Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning.

Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer

Proceedings of the WI for Grand Challenges, 2022

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.

Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts.

Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Designing a Human-in-the-Loop System for Object Detection in Floor Plans.

Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Directed particle swarm optimization with Gaussian-process-based function forecasting.

Johannes Jakubik, Adrian Binding, Stefan Feuerriegel

Eur. J. Oper. Res., 2021

2019

Reinforcement learning for opportunistic maintenance optimization.

Andreas Kuhnle, Johannes Jakubik, Gisela Lanza

Prod. Eng., 2019