Michael Kopp

33 papers A* 2Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing.
CoRR
Yuduo Wang, Weikang Yu, Michael Kopp, Pedram Ghamisi
2024 J jnl
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
IEEE Trans. Geosci. Remote. Sens.
Shizhen Chang, Michael Kopp, Pedram Ghamisi, Bo Du
2024 A* conf
xLSTM: Extended Long Short-Term Memory.
NeurIPS
Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2024 J jnl
xLSTM: Extended Long Short-Term Memory.
CoRR
Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2023 J jnl
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
CoRR
Shizhen Chang, Michael Kopp, Pedram Ghamisi
2023 J jnl
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell.
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2023 J jnl
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.
IEEE Trans. Intell. Transp. Syst.
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
2023 J jnl
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities.
CoRR
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
2023 J jnl
The impact of the AI revolution on asset management.
CoRR
Michael Kopp
2023 J jnl
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
CoRR
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2023 J jnl
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.
IEEE Trans. Image Process.
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2022 — conf
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection.
CDCEO@IJCAI
Shizhen Chang, Michael Kopp, Pedram Ghamisi
2022 A* conf
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.
NeurIPS
Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
2022 J jnl
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
CoRR
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022 J jnl
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
IEEE Trans. Geosci. Remote. Sens.
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022 J jnl
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022 J jnl
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report.
CoRR
Ivan Svogor, Christian Eichenberger, Markus Spanring, Moritz Neun, Michael Kopp
2022 J jnl
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection.
CoRR
Shizhen Chang, Michael Kopp, Pedram Ghamisi
2022 J jnl
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Shizhen Chang, Michael Kopp, Pedram Ghamisi
2022 — conf
The Landslide4Sense Competition 2022.
CDCEO@IJCAI
Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter
2022 J jnl
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
CoRR
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2022 J jnl
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks.
CoRR
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2021 J jnl
A remark on a paper of Krotov and Hopfield [arXiv: 2008.06996].
CoRR
Fei Tang, Michael Kopp
2021 J jnl
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.
CoRR
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
2021 — conf
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.
IEEE BigData
Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
2021 — conf
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.
NeurIPS (Competition and Demos)
Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2021 — conf
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
NeurIPS (Competition and Demos)
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021 — conf
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
NeurIPS (Competition and Demos)
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2020 J jnl
Cross-Domain Few-Shot Learning by Representation Fusion.
CoRR
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
2020 J jnl
Hopfield Networks is All You Need.
CoRR
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2020 — conf
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.
NeurIPS (Competition and Demos)
Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter
2019 — conf
Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs) (Short Paper).
COSIT
David Jonietz, Michael Kopp
2018 — conf
Asynchronous Federated Learning for Geospatial Applications.
DMLE/IOTSTREAMING@PKDD/ECML
Michael R. Sprague, Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Moritz Neun, Lyman Do, Michael Kopp