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David Klindt
David Klindt
Dirección de correo verificada de stanford.edu - Página principal
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Neural system identification for large populations separating" what" and" where"
DA Klindt*, AS Ecker*, T Euler, M Bethge
Neural Information Processing Systems 30, 2017
1222017
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
D Klindt*, L Schott*, Y Sharma*, I Ustyuzhaninov, W Brendel, M Bethge, ...
International Conference on Learning Representations 9, (oral presentation), 2020
1072020
Natural environment statistics in the upper and lower visual field are reflected in mouse retinal specializations
Y Qiu, Z Zhao, D Klindt, M Kautzky, KP Szatko, F Schaeffel, K Rifai, ...
Current Biology 31 (15), 3233-3247. e6, 2021
52*2021
Does the way we read others' mind change over the lifespan? Insights from a massive web poll of cognitive skills from childhood to late adulthood
D Klindt, M Devaine, J Daunizeau
Cortex 86, 205-215, 2017
402017
Score-based generative classifiers
RS Zimmermann, L Schott, Y Song, BA Dunn, DA Klindt
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
362021
The temporal structure of the inner retina at a single glance
Z Zhao*, DA Klindt*, AM Chagas, KP Szatko, L Rogerson, DA Protti, ...
Scientific reports 10 (1), 1-17, 2020
252020
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
C Schröder*, D Klindt*, S Strauss, K Franke, M Bethge, T Euler, P Berens
Neural Information Processing Systems 33, (spotlight presentation), 2020
122020
Uncovering 2-d toroidal representations in grid cell ensemble activity during 1-d behavior
E Hermansen, DA Klindt, BA Dunn
bioRxiv, 2022.11. 25.517966, 2022
82022
Removing inter-experimental variability from functional data in systems neuroscience
D Gonschorek, L Höfling, KP Szatko, K Franke, T Schubert, B Dunn, ...
Advances in Neural Information Processing Systems 34, 3706-3719, 2021
82021
A chromatic feature detector in the retina signals visual context changes
L Höfling, KP Szatko, C Behrens, Y Deng, Y Qiu, DA Klindt, Z Jessen, ...
bioRxiv, 2022.11. 30.518492, 2022
72022
Iclr 2022 challenge for computational geometry & topology: Design and results
A Myers, S Utpala, S Talbar, S Sanborn, C Shewmake, C Donnat, J Mathe, ...
Topological, Algebraic and Geometric Learning Workshops 2022, 269-276, 2022
42022
Understanding neural coding on latent manifolds by sharing features and dividing ensembles
M Bjerke, L Schott, KT Jensen, C Battistin, DA Klindt, BA Dunn
arXiv preprint arXiv:2210.03155, 2022
42022
Efficient coding of natural scenes improves neural system identification
Y Qiu, DA Klindt, KP Szatko, D Gonschorek, L Hoefling, T Schubert, ...
PLOS Computational Biology 19 (4), e1011037, 2023
32023
Controlling neural network smoothness for neural algorithmic reasoning
DA Klindt
Transactions on Machine Learning Research, 2022
32022
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
D Klindt, S Sanborn, F Acosta, F Poitevin, N Miolane
arXiv preprint arXiv:2310.11431, 2023
12023
Modelling Functional Wiring and Processing from Retinal Bipolar to Ganglion Cells
DA Klindt*, C Schröder*, A Vlasits, K Franke, P Berens, T Euler
Computational and Systems Neuroscience (Cosyne) 2021, 2021
12021
Measuring Mechanistic Interpretability at Scale Without Humans
RS Zimmermann, DA Klindt, W Brendel
ICLR 2024 Workshop on Representational Alignment, 2024
2024
Towards Interpretable Cryo-EM: Disentangling Latent Spaces of Molecular Conformations
DA Klindt, A Hyvarinen, A Levy, N Miolane, F Poitevin
bioRxiv, 2024.03. 18.585544, 2024
2024
Evaluation of Representational Similarity Scores Across Human Visual Cortex
F Acosta, C Conwell, S Sanborn, DA Klindt, N Miolane
UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
2023
Topological Ensemble Detection with Differentiable Yoking
D Klindt, E Hermansen, M Vaupel, B Dunn
ICLR 2022 Computational Geometry & Topology challenge, 2022
2022
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Artículos 1–20