Klindt, David

16 publications

NeurIPS 2025 AI-Generated Video Detection via Perceptual Straightening Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David Klindt

ICML 2025 Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders Charles O’Neill, Alim Gumran, David Klindt

ICLR 2025 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 Klindt

TMLR 2025 Occam’s Razor for SSL: Memory-Efficient Parametric Instance Discrimination Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David Klindt, Wieland Brendel, Baharan Mirzasoleiman

ICML 2025 Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research Patrik Reizinger, Randall Balestriero, David Klindt, Wieland Brendel

NeurIPSW 2024 DIETing: Self-Supervised Learning with Instance Discrimination Learns Identifiable Features Attila Juhos, Alice Bizeul, Patrik Reizinger, Randall Balestriero, David Klindt, Mark Ibrahim, Julia E Vogt, Wieland Brendel

NeurIPSW 2024 DIETing: Self-Supervised Learning with Instance Discrimination Learns Identifiable Features Attila Juhos, Alice Bizeul, Patrik Reizinger, David Klindt, Randall Balestriero, Mark Ibrahim, Julia E Vogt, Wieland Brendel

NeurIPSW 2024 Delays in Generalization Match Delayed Changes in Representational Geometry Xingyu Zheng, Kyle Daruwalla, Ari S Benjamin, David Klindt

NeurIPS 2024 Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

ICMLW 2024 Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning Daniel Kunin, Allan Raventos, Clémentine Carla Juliette Dominé, Feng Chen, David Klindt, Andrew M Saxe, Surya Ganguli

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

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

NeurIPSW 2024 Occam's Razor for Self Supervised Learning: What Is Sufficient to Learn Good Representations? Mark Ibrahim, David Klindt, Randall Balestriero

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

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

NeurIPS 2017 Neural System Identification for Large Populations Separating “what” and “where” David Klindt, Alexander S Ecker, Thomas Euler, Matthias Bethge