David P. Kreil

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 17

Top Topics

Hopfield Networks

Transfer Learning

Weather Forecasting

Top Venues

NeurIPS (Competition and Demos)

IEEE Trans. Geosci. Remote. Sens.

Publications

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
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR (2023)
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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 L. 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
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR (2022)
Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter
The Landslide4Sense Competition 2022. CDCEO@IJCAI (2022)
Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. NeurIPS (2022)
Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. CoRR (2022)
Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM (2021)
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
Hopfield Networks is All You Need. ICLR (2021)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) (2021)
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. CoRR (2021)
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
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) (2021)
Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. IEEE BigData (2021)
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 L. 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
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) (2021)
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
Hopfield Networks is All You Need. CoRR (2020)
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
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) (2020)
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
Cross-Domain Few-Shot Learning by Representation Fusion. CoRR (2020)
David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) (2019)
Vincent C. Emeakaroha, Michael Maurer, Patrick Stern, Pawel P. Labaj, Ivona Brandic, David P. Kreil
Managing and Optimizing Bioinformatics Workflows for Data Analysis in Clouds. J. Grid Comput. 11 (3) (2013)
Peter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem
The impact of quantitative optimization of hybridization conditions on gene expression analysis. BMC Bioinform. 12 (2011)
Pawel P. Labaj, Peter Sykacek, David P. Kreil
An analysis of single amino acid repeats as use case for application specific background models. BMC Bioinform. 12 (2011)
Vincent C. Emeakaroha, Pawel P. Labaj, Michael Maurer, Ivona Brandic, David P. Kreil
Optimizing bioinformatics workflows for data analysis using cloud management techniques. WORKS@SC (2011)
Pawel P. Labaj, Germán G. Leparc, Bryan E. Linggi, Lye Meng Markillie, H. Steven Wiley, David P. Kreil
Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling. Bioinform. 27 (13) (2011)
Ulrike Mückstein, Germán G. Leparc, Alexandra Posekany, Ivo L. Hofacker, David P. Kreil
Hybridization thermodynamics of NimbleGen Microarrays. BMC Bioinform. 11 (2010)
Thomas Tüchler, Golda Velez, Alexandra Graf, David P. Kreil
BibGlimpse: The case for a light-weight reprint manager in distributed literature research. BMC Bioinform. 9 (2008)
David P. Kreil, Roslin Russell
There is no silver bullet - a guide to low-level data transforms and normalisation methods for microarray data. Briefings Bioinform. 6 (1) (2005)
David P. Kreil, Natasha A. Karp, Kathryn S. Lilley
DNA microarray normalization methods can remove bias from differential protein expression analysis of 2D difference gel electrophoresis results. Bioinform. 20 (13) (2004)
David P. Kreil, Richard P. Auburn, Lisa A. Meadows, Steven Russell, Gos Micklem
Quantitative microarray spot profile optimization: A systematic evaluation of buffer/slide combinations. German Conference on Bioinformatics (2003)
David P. Kreil, Christos A. Ouzounis
Comparison of sequence masking algorithms and the detection of biased protein sequence regions. Bioinform. 19 (13) (2003)
Vasilis J. Promponas, Anton J. Enright, Sophia Tsoka, David P. Kreil, Christophe Leroy, Stavros J. Hamodrakas, Chris Sander, Christos A. Ouzounis
CAST: an iterative algorithm for the complexity analysis of sequence tracts. Bioinform. 16 (10) (2000)
Steffen Möller, Michael J. Wise, David P. Kreil, Michael Schroeder, D. Gilbest, Rolf Apweiler
Facilitating context-sensitive queries: A tool to rephrase SWISS-PROT. German Conference on Bioinformatics (1999)