Michael Kopp

Orcid: 0000-0002-1385-1109

Affiliations:
  • HERE Technologies, Zurich, Switzerland
  • Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria


According to our database1, Michael Kopp authored at least 27 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.
IEEE Trans. Intell. Transp. Syst., November, 2023

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell., October, 2023

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.
IEEE Trans. Image Process., 2023

The impact of the AI revolution on asset management.
CoRR, 2023

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
CoRR, 2023

2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report.
CoRR, 2022

Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection.
CoRR, 2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR, 2022

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Landslide4Sense Competition 2022.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.
CoRR, 2021

A remark on a paper of Krotov and Hopfield [arXiv: 2008.06996].
CoRR, 2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
Proceedings of the NeurIPS 2022 Competition Track, 2021



Hopfield Networks is All You Need.
Proceedings of the 9th International Conference on Learning Representations, 2021

CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Cross-Domain Few-Shot Learning by Representation Fusion.
CoRR, 2020

Hopfield Networks is All You Need.
CoRR, 2020

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs) (Short Paper).
Proceedings of the 14th International Conference on Spatial Information Theory, 2019

2018
Asynchronous Federated Learning for Geospatial Applications.
Proceedings of the ECML PKDD 2018 Workshops, 2018


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