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Michael K Kopp
Principal Researcher, Nirmata Research LLP
Joined
September 2020
Names
Michael K Kopp
(Preferred)
,
Michael Kopp
Emails
****@iarai.ac.at
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@nirmata.tech
(Confirmed)
,
****@googlemail.com
(Confirmed)
Personal Links
Google Scholar
ORCID
LinkedIn
Career & Education History
Principal Researcher
Nirmata Research LLP
(nirmata.tech)
2024
–
Present
Director
Institute of Advanced Research in Artificial Intelligence (IARAI)
(iarai.ac.at)
2019
–
2023
Advisors, Relations & Conflicts
Coauthor
Johannes Brandstetter
2020
–
Present
Coauthor
Thomas Adler
2020
–
Present
Coworker
Sepp Hochreiter
2019
–
Present
Coworker
David Kreil
2019
–
Present
Expertise
deep learning
,
reinforcement learning
,
hopfield networks
,
few shot learning
,
meta learning
,
RNN
,
generative methods
,
probabilistic modelling
,
functional analysis
,
automatic continuity theory
1999
–
Present
Publications
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
,
Martin Lumiste
,
Andrei Ilie
,
Xinhua Wu
,
Cheng Lyu
,
Qing-Long Lu
,
Vishal Mahajan
,
Yichao Lu
,
Jiezhang Li
,
Junjun Li
,
Yue-Jiao Gong
et al. (10 additional authors not shown)
2023 (modified: 24 Apr 2023)
CoRR 2023
Readers:
Everyone
The impact of the AI revolution on asset management
Michael Kopp
Published: 01 Jan 2023, Last Modified: 09 May 2023
CoRR 2023
Readers:
Everyone
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Moritz Neun
,
Christian Eichenberger
,
Yanan Xin
,
Cheng Fu
,
Nina Wiedemann
,
Henry Martin
,
Martin Tomko
,
Lukas Ambühl
,
Luca Hermes
,
Michael Kopp
Published: 01 Jan 2023, Last Modified: 09 May 2023
CoRR 2023
Readers:
Everyone
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks
Shizhen Chang
,
Michael Kopp
,
Pedram Ghamisi
Published: 01 Jan 2023, Last Modified: 09 May 2023
CoRR 2023
Readers:
Everyone
InfODist: Online distillation with Informative rewards improves generalization in Curriculum Learning
Rahul Siripurapu
,
Vihang Prakash Patil
,
Kajetan Schweighofer
,
Marius-Constantin Dinu
,
Thomas Schmied
,
Luis Eduardo Ferro Diez
,
Markus Holzleitner
,
Hamid Eghbal-zadeh
,
Michael K Kopp
,
Sepp Hochreiter
08 Oct 2022 (modified: 05 May 2023)
Deep RL Workshop 2022
Readers:
Everyone
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
,
Elisabeth Rumetshofer
,
Johannes Lehner
,
Viet Thuong Tran
,
Fei Tang
,
Hubert Ramsauer
,
D P Kreil
,
Michael K Kopp
,
Günter Klambauer
,
Angela Bitto-Nemling
,
Sepp Hochreiter
Published: 31 Oct 2022, Last Modified: 08 Feb 2026
NeurIPS 2022 Accept
Readers:
Everyone
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
,
Bo Wang
,
Hai L. Vu
,
Reza Mohajerpoor
,
Chen Cai
,
Inhi Kim
,
Luca Hermes
,
Andrew Melnik
,
Riza Velioglu
et al. (17 additional authors not shown)
2022 (modified: 21 Apr 2023)
CoRR 2022
Readers:
Everyone
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn
,
Lorenzo Buffoni
,
Bruno 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 (modified: 21 Apr 2023)
CoRR 2022
Readers:
Everyone
The Landslide4Sense Competition 2022
Pedram Ghamisi
,
Omid Ghorbanzadeh
,
Yonghao Xu
,
Pedro Herruzo
,
David P. Kreil
,
Michael Kopp
,
Sepp Hochreiter
Published: 01 Jan 2022, Last Modified: 09 May 2023
CDCEO@IJCAI 2022
Readers:
Everyone
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection
Shizhen Chang
,
Michael Kopp
,
Pedram Ghamisi
Published: 01 Jan 2022, Last Modified: 09 May 2023
IEEE Trans. Geosci. Remote. Sens. 2022
Readers:
Everyone
View all 32 publications
Co-Authors
Alabi Bojesomo
Aleksandra Gruca
Aleksei Shpilman
Ali Soleymani
Amir Jalalirad
Andreas Fürst
Andreas Mayr
Andrei Ilie
Andrew Gritsevskiy
Andrew Melnik
Andrzej Kucik
Angela Bitto
Angela Bitto-Nemling
Anna Jordan
Bernhard Schäfl
Bo Wang
Bruno Coutinho
Catalin Capota
Chen Cai
Cheng Fu
Cheng Lyu
Chenwang Wu
Christian Briese
Christian Eichenberger
D P Kreil
View all 127 co-authors