H. Zhang, F. Torres, R. Sicre, Y. Avrithis, and S. Ayache (2023) Opti-CAM: Optimizing Saliency Maps for Interpretability. arXiv:2301.07002, 2023-01-17. (more) (download)

A. R. Barzani, P. Pahlavani, and O. Ghorbanzadeh (2023) Ensembling of Decision Trees, KNN, and Logistic Regression with Soft-Voting Method for Wildfire Susceptibility Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 647–652, 2023-01-14. (more) (download)

A. R. Barzani, P. Pahlavani, O. Ghorbanzadeh, and P. Ghamisi (2023) How the Recursive Feature Elimination Affects the SVM and RF for Wildfire Modeling? A Mountainous Case Study Area. EGUsphere, 2023-01-10. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Z. Cai, X. Liu, and Y. Ding (2023) Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Transactions on Intelligent Systems and Technology, 2023-01-09. (more) (download)

C. H. Song, J. Yoon, S. Choi, and Y. Avrithis (2023) Boosting Vision Transformers for Image Retrieval. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 107-117, 2023-01-03. (more) (download)

H. Martin, N. Wiedemann, D. J. Reck, and M. Raubal (2023) Graph-Based Mobility Profiling. Computers, Environment and Urban Systems, 100, 101910, 2023-01-03. (more) (download)

Y. Hong, H. Martin, Y. Xin, D. Bucher, D. J. Reck, K. W. Axhausen, and M. Raubal (2023) Conserved Quantities in Human Mobility: From Locations to Trips. Transportation Research Part C: Emerging Technologies, 146, 103979, 2023-01-01. (more) (download)


Y. Xu, F. He, B. Du, D. Tao, and L. Zhang (2022) Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Transactions on Multimedia, 2022-12-29. (more) (download)

Y. Xu, T. Bai, W. Yu, S. Chang, P. M. Atkinson, and P. Ghamisi (2022) AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. arXiv:2212.09360, 2022-12-19. (more) (download)

P. A. Robert, R. Akbar, R. Frank, M. Pavlović, M. Widrich, I. Snapkov, A. Slabodkin, M. Chernigovskaya, L. Scheffer, E. Smorodina, P. Rawat, B. B. Mehta, M. Ha Vu, I. F. Mathisen, 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 (2022) Unconstrained Generation of Synthetic Antibody–Antigen Structures to Guide Machine Learning Methodology for Antibody Specificity Prediction. Nature Computational Science, 2, 12, 845-865, 2022-12-19. (more) (download)

O. Ghorbanzadeh, A. Crivellari, D. Tiede, P. Ghamisi, and S. Lang (2022) Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning. Remote Sensing, 14, 24, 6382, 2022-12-16. (more) (download)

Y. Zhang, P. Duan, J. Mao, X. Kang, L. Fang, and P. Ghamisi (2022) Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022-12-14. (more) (download)

R. Siripurapu, V. P. Patil, K. Schweighofer, M.-C. Dinu, T. Schmied, L. E. F. Diez, M. Holzleitner, H. Eghbal-Zadeh, M. K. Kopp, and S. Hochreiter (2022) InfODist: Online Distillation with Informative Rewards Improves Generalization in Curriculum Learning. Deep Reinforcement Learning Workshop at NeurIPS 2022, 2022-12-09. (more) (download)

A. Fürst, E. Rumetshofer, J. Lehner, V. T. Tran, F. Tang, H. Ramsauer, D. Kreil, M. Kopp, G. Klambauer, A. Bitto, and S. Hochreiter (2022) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. Advances in Neural Information Processing Systems (NeurIPS 2022),  35, 20450-20468, 2022-12-06. (more) (download)

V. T. Tran, L. Lewis, H.-Y. Huang, J. Kofler, R. Kueng, S. Hochreiter, and S. Lehner (2022) Using Shadows to Learn Ground State Properties of Quantum Hamiltonians. Machine Learning and the Physical Sciences at NeurIPS 2022, 2022-12-03. (more) (download)

S. Sanokowski, W. Berghammer, J. Kofler, S. Hochreiter, and S. Lehner (2022) One Network to Approximate Them All: Amortized Variational Inference of Ising Ground States. Machine Learning and the Physical Sciences at NeurIPS 2022, 2022-12-03. (more) (download)

K. Schweighofer, M.-c. Dinu, A. Radler, M. Hofmarcher, V. P. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) A Dataset Perspective on Offline Reinforcement Learning. Conference on Lifelong Learning Agents, Proceedings of Machine Learning Research, 199, 470-517, 2022-11-28. (more) (download)

C. Steinparz, T. Schmied, F. Paischer, M.-C. Dinu, V. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR, 199, 441-469, 2022, 2022-11-28. (more) (download)

L. Wu, L. Fang, J. Yue, B. Zhang, P. Ghamisi, and M. He (2022) Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Image Processing, 31, 7419-7434, 2022-11-23. (more) (download)

A. Sanchez-Fernandez, E. Rumetshofer, S. Hochreiter, and G. Klambauer (2022) CLOOME: Contrastive Learning Unlocks Bioimaging Databases for Queries with Chemical Structures. bioRxiv 2022.11.17.516915, 2022-11-18. (more) (download)

I. Svogor, C. Eichenberger, M. Spanring, M. Neun, and M. Kopp (2022) Profiling and Improving the PyTorch Dataloader for High-Latency Storage: A Technical Report. arXiv:2211.04908, 2022-11-09. (more) (download)

S. Chang, M. Kopp, and P. Ghamisi (2022) Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-11-09. (more) (download)

O. Ghorbanzadeh, Y. Xu, H. Zhao, J. Wang, Y. Zhong, D. Zhao, Q. Zang, S. Wang, F. Zhang, Y. Shi, X. X. Zhu, L. Bai, W. Li, W. Peng, and P. Ghamisi (2022) The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 9927-9942, 2022-11-09. (more) (download)

L. Huang, Y. Chen, X. He, and P. Ghamisi (2022) Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote Sensing, 14, 21, 5530, 2022-11-02. (more) (download)


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