Michael Kopp

Austrian Research Institute for Artificial Intelligence — Austria

Computer Science · Physical Sciences

11h-index871citations42works27.32yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(5), Traffic Prediction and Management Techniques(4), Multimodal Machine Learning Applications(4), Human Mobility and Location-Based Analysis(4), Neural Networks and Applications(3)

Publications42 total

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing
arXiv (Cornell University)·2024· 3 citedOpen Access
xLSTM: Extended Long Short-Term Memory
arXiv (Cornell University)·2024· 84 citedOpen Access
xLSTM: Extended Long Short-Term Memory
2024· 13 cited
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks
IEEE Transactions on Geoscience and Remote Sensing·2024· 8 citedOpen Access
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
Nature Machine Intelligence·2023· 66 citedOpen Access
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities
IEEE Transactions on Intelligent Transportation Systems·2023· 7 cited
The impact of the AI revolution on asset management
arXiv (Cornell University)·2023Open Access
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
arXiv (Cornell University)·2023· 5 citedOpen Access
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
arXiv (Cornell University)·2023Open Access
Radiation dose-rate meter using an energy-sensitive counter
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks
IEEE Transactions on Image Processing·2023· 45 citedOpen Access
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
arXiv (Cornell University)·2022· 3 citedOpen Access
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection
arXiv (Cornell University)·2022· 1 citedOpen Access
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
arXiv (Cornell University)·2022· 7 citedOpen Access
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
arXiv (Cornell University)·2022· 1 citedOpen Access
A new 6D discrete system and its Arduino Uno implementation with LED visualization
2022Open Access
A new 6D discrete system and its Arduino Uno implementation with LED visualization
2022Open Access
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Frequent Co-authors

Sepp Hochreiter(14), David P. Kreil(13), Pedram Ghamisi(11), Moritz Neun(9), Günter Klambauer(7), Yonghao Xu(5), J. Brandstetter(5), Markus Spanring(5), Christian Eichenberger(5), Henry Martin(5), David Jonietz(5), Hubert Ramsauer(4), Johannes M. Lehner(4), Pedro Herruzo(4), Aleksandra Gruca(4), Shizhen Chang(4), Omid Ghorbanzadeh(3), Michael Widrich(3), Thomas Adler(3), Weikang Yu(3)