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ORCIDDavid A. Klindt
Person information
- affiliation: Norwegian University of Science and Technology (NUST), Department of Mathematical Sciences, Trondheim, Norway
- affiliation (PhD): University of Tübingen, Germany
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2020 – today
- 2023
[j2]Yongrong Qiu
, David A. Klindt, Klaudia P. Szatko, Dominic Gonschorek, Larissa Höfling, Timm Schubert, Laura Busse, Matthias Bethge, Thomas Euler:
Efficient coding of natural scenes improves neural system identification. PLoS Comput. Biol. 19(4) (2023)- [j1]David A. Klindt:
Controlling Neural Network Smoothness for Neural Algorithmic Reasoning. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn:
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles. ICLR 2023 - [i6]David A. Klindt, Sophia Sanborn, Francisco Acosta, Frédéric Poitevin, Nina Miolane:
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. CoRR abs/2310.11431 (2023) - 2022
- [c6]David A. Klindt, Sigurd Gaukstad, Melvin Vaupel, Erik Hermansen, Benjamin A. Dunn:
Topological ensemble detection with differentiable yoking. NeurReps 2022: 354-369 - [c5]Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane:
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. TAG-ML 2022: 269-276 - [i5]Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Umberto Lupo, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane:
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. CoRR abs/2206.09048 (2022) - [i4]Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin A. Dunn:
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles. CoRR abs/2210.03155 (2022) - 2021
- [c4]David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. ICLR 2021 - [c3]Dominic Gonschorek, Larissa Höfling, Klaudia P. Szatko, Katrin Franke, Timm Schubert, Benjamin A. Dunn, Philipp Berens, David A. Klindt, Thomas Euler:
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience. NeurIPS 2021: 3706-3719 - [i3]Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt:
Score-Based Generative Classifiers. CoRR abs/2110.00473 (2021) - 2020
- [c2]Cornelius Schröder, David A. Klindt, Sarah Strauß, Katrin Franke, Matthias Bethge, Thomas Euler, Philipp Berens:
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina. NeurIPS 2020 - [i2]David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. CoRR abs/2007.10930 (2020)
2010 – 2019
- 2017
- [c1]David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge:
Neural system identification for large populations separating "what" and "where". NIPS 2017: 3506-3516 - [i1]David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge:
Neural system identification for large populations separating "what" and "where". CoRR abs/1711.02653 (2017)
Coauthor Index
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