Asynchronous Federated Learning for Geospatial Applications. - Michael R. Sprague; Amir Jalalirad; Marco Scavuzzo; Catalin Capota; Moritz Neun; Lyman Do; Michael Kopp 001 (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs) (Short Paper). - David Jonietz; Michael Kopp 001 (COSIT, 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. - David P. Kreil; Michael K. Kopp 001; David Jonietz; Moritz Neun; Aleksandra Gruca; Pedro Herruzo; Henry Martin; Ali Soleymani; Sepp Hochreiter (NeurIPS (Competition and Demos), 2019)

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. - Michael Kopp 001; David P. Kreil; Moritz Neun; David Jonietz; Henry Martin; Pedro Herruzo; Aleksandra Gruca; Ali Soleymani; Fanyou Wu; Yang Liu 253; Jingwei Xu; Jianjin Zhang; et al. (NeurIPS (Competition and Demos), 2020)

Hopfield Networks is All You Need. - 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 001; et al. (CoRR, 2020)

Cross-Domain Few-Shot Learning by Representation Fusion. - Thomas Adler; Johannes Brandstetter; Michael Widrich; Andreas Mayr; David P. Kreil; Michael Kopp 001; Günter Klambauer; Sepp Hochreiter (CoRR, 2020)

High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. - Pedro Herruzo; Aleksandra Gruca; Llorenç Lliso; Xavier Calbet; Pilar Rípodas; Sepp Hochreiter; Michael Kopp 001; David P. Kreil (IEEE BigData, 2021)

CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. - Aleksandra Gruca; Pedro Herruzo; Pilar Rípodas; Andrzej Kucik; Christian Briese; Michael K. Kopp 001; Sepp Hochreiter; Pedram Ghamisi; David P. Kreil (CIKM, 2021)

Hopfield Networks is All You Need. - Hubert Ramsauer; Bernhard Schäfl; Johannes Lehner; Philipp Seidl; Michael Widrich; Lukas Gruber; Markus Holzleitner; Thomas Adler; David P. Kreil; Michael K. Kopp 001; Günter Klambauer; Johannes Brandstetter; et al. (ICLR, 2021)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

A remark on a paper of Krotov and Hopfield [arXiv: 2008.06996]. - Fei Tang; Michael Kopp 001 (CoRR, 2021)

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. - Andreas Fürst; Elisabeth Rumetshofer; Viet Tran; Hubert Ramsauer; Fei Tang; Johannes Lehner; David P. Kreil; Michael Kopp 001; Günter Klambauer; Angela Bitto-Nemling; Sepp Hochreiter (CoRR, 2021)

A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CDCEO@IJCAI, 2022)

The Landslide4Sense Competition 2022. - Pedram Ghamisi; Omid Ghorbanzadeh; Yonghao Xu; Pedro Herruzo; David P. Kreil; Michael Kopp 001; Sepp Hochreiter (CDCEO@IJCAI, 2022)

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. - Andreas Fürst; Elisabeth Rumetshofer; Johannes Lehner; Viet T. Tran; Fei Tang; Hubert Ramsauer; David P. Kreil; Michael Kopp 001; Günter Klambauer; Angela Bitto; Sepp Hochreiter (NeurIPS, 2022)

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

Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2022)

Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report. - Ivan Svogor; Christian Eichenberger; Markus Spanring; Moritz Neun; Michael Kopp 001 (CoRR, 2022)

Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (IEEE Trans. Geosci. Remote. Sens., 2022)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (Zenodo, 2022)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2023)

The impact of the AI revolution on asset management. - Michael Kopp 001 (CoRR, 2023)

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. - Yonghao Xu; Weikang Yu; Pedram Ghamisi; Michael Kopp 001; Sepp Hochreiter (IEEE Trans. Image Process., 2023)

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

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. - Moritz Neun; Christian Eichenberger; Yanan Xin 001; Cheng Fu; Nina Wiedemann; Henry Martin; Martin Tomko; Lukas Ambühl; Luca Hermes; Michael Kopp 001 (IEEE Trans. Intell. Transp. Syst., 2023)

xLSTM: Extended Long Short-Term Memory. - Maximilian Beck; Korbinian Pöppel; Markus Spanring; Andreas Auer; Oleksandra Prudnikova; Michael Kopp 001; Günter Klambauer; Johannes Brandstetter; Sepp Hochreiter (NeurIPS, 2024)

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing. - Yuduo Wang; Weikang Yu; Michael Kopp 001; Pedram Ghamisi (CoRR, 2024)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)