Johannes Jakubik

53 papers A* 5A 1C 1Journal 38Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How To Embed Matters: Evaluation of EO Embedding Design Choices. CoRR Luis Gilch, Isabelle Wittmann, Maximilian Nitsche, Johannes Jakubik, Arne Ewald, Thomas Brunschwiler
2026	J	`jnl`	Partial recovery of meter-scale surface weather. CoRR Jonathan Giezendanner, Qidong Yang, Eric Schmitt, Anirban Chandra, Daniel Salles Civitarese, Johannes Jakubik, Jeremy Vila, Detlef Hohl, Campbell D. Watson, Sherrie Wang
2026	J	`jnl`	Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science. CoRR Levi E. Lingsch, Georgios Kissas, Johannes Jakubik, Siddhartha Mishra
2026	J	`jnl`	SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation. CoRR Víctor Barreiro, Johannes Jakubik, Francisco Argüello, Dora B. Heras
2026	J	`jnl`	Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind. CoRR Julia Anna Leonardi, Johannes Jakubik, Paolo Fraccaro, Maria Antonia Brovelli
2026	J	`jnl`	TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation. CoRR Nazar Puriy, Johannes Jakubik, Benedikt Blumenstiel, Konrad Schindler
2025	J	`jnl`	AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. J. Artif. Intell. Res. Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2025	—	`conf`	Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation. ECML/PKDD (6) Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler
2025	J	`jnl`	Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation. CoRR Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler
2025	J	`jnl`	Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. CoRR 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
2025	J	`jnl`	Improving Label Error Detection and Elimination with Uncertainty Quantification. J. Artif. Intell. Res. Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger
2025	J	`jnl`	Lossy Neural Compression for Geospatial Analytics: A Review. CoRR 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
2025	J	`jnl`	Quantizing Space and Time: Fusing Time Series and Images for Earth Observation. CoRR Gianfranco Basile, Johannes Jakubik, Benedikt Blumenstiel, Thomas Brunschwiler, Juan Bernabé-Moreno
2025	J	`jnl`	Surya: Foundation Model for Heliophysics. CoRR 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
2025	—	`conf`	TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. CVPR Workshops Benedikt Blumenstiel, Paolo Fraccaro, Valerio Marsocci, Johannes Jakubik, Stefano Maurogiovanni, Mikolaj Czerkawski, Rocco Sedona, Gabriele Cavallaro, Thomas Brunschwiler, Juan Bernabé-Moreno, Nicolas Longépé
2025	J	`jnl`	TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. CoRR Benedikt Blumenstiel, Paolo Fraccaro, Valerio Marsocci, Johannes Jakubik, Stefano Maurogiovanni, Mikolaj Czerkawski, Rocco Sedona, Gabriele Cavallaro, Thomas Brunschwiler, Juan Bernabé-Moreno, Nicolas Longépé
2025	J	`jnl`	TerraMind: Large-Scale Generative Multimodality for Earth Observation. CoRR 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
2024	J	`jnl`	Data-Centric Artificial Intelligence. Bus. Inf. Syst. Eng. Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
2024	—	`—`	Data-centric artificial intelligence: foundations and methods for deep learning. Johannes Jakubik
2024	J	`jnl`	Explainability in AI Based Applications: A Framework for Comparing Different Techniques. CoRR Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, Gerhard Satzger
2024	—	`conf`	Explainability in AI-Based Applications - A Framework for Comparing Different Techniques. CBI Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, Gerhard Satzger
2024	J	`jnl`	Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger
2024	J	`jnl`	Multi-modal graph neural networks for localized off-grid weather forecasting. CoRR Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang
2024	J	`jnl`	Prithvi WxC: Foundation Model for Weather and Climate. CoRR 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
2024	A*	`conf`	Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	J	`jnl`	AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR 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
2023	J	`jnl`	Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR 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
2023	—	`conf`	Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. Wirtschaftsinformatik Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
2023	J	`jnl`	Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. CoRR Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
2023	A*	`conf`	Learning to Defer with Limited Expert Predictions. AAAI Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	Learning to Defer with Limited Expert Predictions. CoRR Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	—	`conf`	On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2023	J	`jnl`	On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2023	A	`conf`	Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
2023	J	`jnl`	Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	J	`jnl`	Sanitizing data for analysis: Designing systems for data understanding. Electron. Mark. Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger
2023	C	`conf`	Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
2023	J	`jnl`	Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
2023	A*	`conf`	What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. NeurIPS Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
2023	J	`jnl`	What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. CoRR Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
2022	—	`conf`	An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022	J	`jnl`	An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022	J	`jnl`	Data-centric Artificial Intelligence. CoRR Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
2022	A*	`conf`	Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr
2022	A*	`conf`	Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
2022	J	`jnl`	Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. CoRR Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
2022	—	`conf`	Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
2022	J	`jnl`	Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
2022	J	`jnl`	Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2021	J	`jnl`	Directed particle swarm optimization with Gaussian-process-based function forecasting. CoRR Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
2021	J	`jnl`	Directed particle swarm optimization with Gaussian-process-based function forecasting. Eur. J. Oper. Res. Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
2019	J	`jnl`	Reinforcement learning for opportunistic maintenance optimization. Prod. Eng. Andreas Kuhnle, Johannes Jakubik, Gisela Lanza