Publications

Q. Li, Y. Chen, and P. Ghamisi (2021) Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. IEEE Geoscience and Remote Sensing Letters, 2021-09-29. (more) (download)

D. Flam-Shepherd, T. Wu, X. Gu, A. Cervera-Lierta, M. Krenn, and A. Aspuru-Guzik (2021) Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models. arXiv:2109.02490, 2021-09-06. (more) (download)

P. Ghamisi, K. R. Shahi, P. Duan, B. Rasti, S. Lorenz, R. Booysen, S. Thiele, I. C. C. Acosta, M. Kirsch, and R. Gloaguen (2021) The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-09-01. (more) (download)

A. Gruca, P. Herruzo, P. Rípodas, A. Kucik, C. Briese, M. K. Kopp, S. Hochreiter, P. Ghamisi, and D. P. Kreil (2021) CDCEO’21 – First Workshop on Complex Data Challenges in Earth Observation. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), November 1–5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA. (in press). (more) (download)

M. Krenn, J. Kottmann, N. Tischler, and A. Aspuru-Guzik (2021) Conceptual Understanding through Efficient Automated Design of Quantum Optical Experiments. Physical Review X, 11, 3, 031044, 2021-08-26. (more) (download)

Y. Han, M. Yin, P. Duan, and P. Ghamisi (2021) Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, in press. 2021-08-17. (more) (download)

M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu, J. Xu, J. Zhang, J. Santokhi, A. Bojesomo, H. Al Marzouqi, P. Liatsis, P. H. Kwok, Q. Qi, and S. Hochreiter (2021) Traffic4cast at NeurIPS 2020 – Yet More on the Unreasonable Effectiveness of Gridded Geo-Spatial Processes. Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR, 133, 325-343, 2021. (more) (download)

M. Mc Cutchan, A. J. Comber, I. Giannopoulos, and a. M. Canestrini (2021) Semantic Boosting: Enhancing Deep Learning Based LULC Classification. Remote Sensing, 13, 16, 3197, 2021-08-12. (more) (download)

N. Alinaghi, M. Kattenbeck, A. Golab, and I. Giannopoulos (2021) Will You Take this Turn? Gaze-Based Turning Activity Recognition During Navigation. Leibniz International Proceedings in Informatics, 11th International Conference on Geographic Information Science (GIScience 2021) - Part 2, 5, 1-16. (more) (download)

J. Yue, D. Zhu, L. Fang, P. Ghamisi, and Y. Wang (2021) Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification with Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2021-07-20. (more) (download)

O. Ghorbanzadeh, A. Crivellari, P. Ghamisi, H. Shahabi, and T. Blaschke (2021) A Comprehensive Transferability Evaluation of U-Net and ResU-Net for Landslide Detection from Sentinel-2 Data. Scientific Reports, 11, 14629, 2021-07-16. (more) (download)

C. Shen, M. Krenn, S. Eppel, and A. Aspuru-Guzik (2021) Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations. Machine Learning: Science and Technology, 2, 3, 03LT02, 2021-07-13. (more) (download)

P. A. Robert, R. Akbar, R. Frank, M. Pavlović, M. Widrich, I. Snapkov, M. Chernigovskaya, L. Scheffer, A. Slabodkin, B. B. Mehta, M. Ha Vu, A. Prósz, K. Abram, A. Olar, E. Miho, D. T. T. Haug, F. Lund-Johansen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, and V. Greiff (2021) One Billion Synthetic 3D-Antibody-Antigen Complexes Enable Unconstrained Machine-Learning Formalized Investigation of Antibody Specificity Prediction. bioRxiv, doi:10.1101/2021.07.06.451258, 2021-07-11. (more) (download)

R. Akbar, P. A. Robert, C. R. Weber, M. Widrich, R. Frank, M. Pavlović, L. Scheffer, M. Chernigovskaya, I. Snapkov, A. Slabodkin, B. B. Mehta, E. Miho, F. Lund-Johansen, J. Andersen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, and V. Greiff (2021) In Silico Proof of Principle of Machine Learning-Based Antibody Design at Unconstrained Scale. bioRxiv, doi:10.1101/2021.07.08.451480, 2021-07-09. (more) (download)

B. Rasti, Y. Chang, E. Dalsasso, L. Denis, and P. Ghamisi (2021) Image Restoration for Remote Sensing: Overview and Toolbox. arXiv:2107.00557, 2021-07-01. (more) (download)

H. Xie, Y. Chen, and a. P. Ghamisi (2021) Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. Remote Sensing, 13, 13, 2566, 2021-06-30. (more) (download)

A. Mayr, S. Lehner, A. Mayrhofer, C. Kloss, S. Hochreiter, and J. Brandstetter (2021) Boundary Graph Neural Networks for 3D Simulations. arXiv:2106.11299, 2021-06-21. (more) (download)

S. Mohammed, K. Tai-hoon, P. Ghamisi, and R.-S. Chang (2021) A Special Issue on Recent Progress in Developing Artificial Intelligence and Machine Learning Methodologies. IEEE Geoscience and Remote Sensing Magazine, 9, 2, 7-128, 2021-06-15. (more) (download)

F. Tang & M. Kopp (2021) A Remark on a Paper of Krotov and Hopfield. arXiv:2105.15034, 2021-06-03. (more) (download)

X. Liu, D. Hong, J. Chanussot, B. Zhao, and P. Ghamisi (2021) Modality Translation in Remote Sensing Time Series. IEEE Transactions on Geoscience and Remote Sensing, 2021-05-21. (more) (download)

F. Kratzert, D. Klotz, S. Hochreiter, and G. Nearing (2021) A Note on Leveraging Synergy in Multiple Meteorological Datasets with Deep Learning for Rainfall-Runoff Modeling. Hydrology and Earth System Sciences, 25, 5, 2685-2703, 2021-05-20. (more) (download)

F. Kratzert, M. Gauch, G. Nearing, S. Hochreiter, and D. Klotz (2021) Rainfall-Runoff Modeling with Long Short-Term Memory Networks (LSTM)—an Overview. Österreichische Wasser-und Abfallwirtschaft, 2021-05-17. (more) (download)

A. Mayr, S. Lehner, A. Mayrhofer, C. Kloss, S. Hochreiter, and J. Brandstetter (2021) Learning 3D Granular Flow Simulations. arXiv: 2105.01636, 2021-05-04. (more) (download)

M. Gauch, F. Kratzert, D. Klotz, G. Nearing, J. Lin, and S. Hochreiter (2021) Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. Hydrology and Earth System Sciences, 25, 4, 2045-2062, 2021-04-19. (more) (download)