David A. Klindt

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Discriminative Classifiers

Top Venues

Publications

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)
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)
David A. Klindt
Controlling Neural Network Smoothness for Neural Algorithmic Reasoning. Trans. Mach. Learn. Res. 2023 (2023)
David A. Klindt, Sophia Sanborn, Francisco Acosta, Frédéric Poitevin, Nina Miolane
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. CoRR (2023)
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 (2022)
David A. Klindt, Sigurd Gaukstad, Melvin Vaupel, Erik Hermansen, Benjamin A. Dunn
Topological ensemble detection with differentiable yoking. NeurReps (2022)
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)
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)
Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
Score-Based Generative Classifiers. CoRR (2021)
David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge
Neural system identification for large populations separating "what" and "where". CoRR (2017)