Neural system identification for large populations separating "what" and "where". - David A. Klindt; Alexander S. Ecker; Thomas Euler; Matthias Bethge (NIPS, 2017)

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina. - Cornelius Schröder; David A. Klindt; Sarah Strauß; Katrin Franke; Matthias Bethge; Thomas Euler; Philipp Berens (NeurIPS, 2020)

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. - David A. Klindt; Lukas Schott; Yash Sharma 001; Ivan Ustyuzhaninov; Wieland Brendel; Matthias Bethge; Dylan M. Paiton (ICLR, 2021)

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience. - Dominic Gonschorek; Larissa Höfling; Klaudia P. Szatko; Katrin Franke; Timm Schubert; Benjamin A. Dunn; Philipp Berens; David A. Klindt; Thomas Euler (NeurIPS, 2021)

Score-Based Generative Classifiers. - Roland S. Zimmermann; Lukas Schott; Yang Song; Benjamin A. Dunn; David A. Klindt (CoRR, 2021)

Topological ensemble detection with differentiable yoking. - David A. Klindt; Sigurd Gaukstad; Melvin Vaupel; Erik Hermansen; Benjamin A. Dunn (NeurReps, 2022)

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; Andri Bergsson; et al. (TAG-ML, 2022)

ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Umberto Lupo; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; et al. (CoRR, 2022)

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 (ICLR, 2023)

Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. - David A. Klindt; Sophia Sanborn; Francisco Acosta; Frédéric Poitevin; Nina Miolane (CoRR, 2023)

Efficient coding of natural scenes improves neural system identification. - Yongrong Qiu; David A. Klindt; Klaudia P. Szatko; Dominic Gonschorek; Larissa Höfling; Timm Schubert; Laura Busse; Matthias Bethge; Thomas Euler (PLoS Comput. Biol., 2023)

Controlling Neural Network Smoothness for Neural Algorithmic Reasoning. - David A. Klindt (Trans. Mach. Learn. Res., 2023)

Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems. - Francisco Acosta; Fatih Dinc; William Redman; Manu S. Madhav; David A. Klindt; Nina Miolane (NeurIPS, 2024)

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning. - Daniel Kunin; Allan Raventós; Clémentine C. J. Dominé; Feng Chen 046; David A. Klindt; Andrew M. Saxe; Surya Ganguli (NeurIPS, 2024)

Measuring Per-Unit Interpretability at Scale Without Humans. - Roland S. Zimmermann; David A. Klindt; Wieland Brendel (NeurIPS, 2024)

Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? - Mark Ibrahim; David A. Klindt; Randall Balestriero (CoRR, 2024)

Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders. - Charles O'Neill; David A. Klindt (CoRR, 2024)

Cross-Entropy Is All You Need To Invert the Data Generating Process. - Patrik Reizinger; Alice Bizeul; Attila Juhos; Julia E. Vogt; Randall Balestriero; Wieland Brendel; David A. Klindt (ICLR, 2025)

From superposition to sparse codes: interpretable representations in neural networks. - David A. Klindt; Charles O'Neill; Patrik Reizinger; Harald Maurer; Nina Miolane (CoRR, 2025)

An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research. - Patrik Reizinger; Randall Balestriero; David A. Klindt; Wieland Brendel (CoRR, 2025)

AI-Generated Video Detection via Perceptual Straightening. - Christian Internò; Robert Geirhos; Markus Olhofer; Sunny Liu; Barbara Hammer; David A. Klindt (CoRR, 2025)