Klindt, David A.

7 publications

ICLRW 2024 Measuring Mechanistic Interpretability at Scale Without Humans Roland S. Zimmermann, David A. Klindt, Wieland Brendel

TMLR 2023 Controlling Neural Network Smoothness for Neural Algorithmic Reasoning David A. Klindt

NeurIPSW 2023 Evaluation of Representational Similarity Scores Across Human Visual Cortex Francisco Acosta, Colin Conwell, Sophia Sanborn, David A. Klindt, Nina Miolane

ICLR 2023 Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles Martin Bjerke, Lukas Schott, Kristopher T Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn

NeurIPSW 2022 Topological Ensemble Detection with Differentiable Yoking David A. Klindt, Sigurd Gaukstad, Erik Hermansen, Melvin Vaupel, Benjamin Adric Dunn

NeurIPSW 2021 Score-Based Generative Classifiers Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin Adric Dunn, David A. Klindt

ICLR 2021 Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton