David Klindt
9 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (8) π Cross-Pollinator (13)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(24)
Conferences
NIPS (6)
ICML (2)
ICLR (1)
Top co-authors
Keywords
system identification
(2)
feature learning
(1)
convolutional neural network
(1)
domain adaptation
(1)
visual cortex
(1)
sample complexity
(1)
neural network interpretability
(1)
model analysis
(1)
linear network
(1)
gradient descent
(1)
biophysical modeling
(1)
biomedical imaging
(1)
learning rate
(1)
receptive field
(1)
adversarial optimization
(1)
recurrent neural network
(1)
learning dynamics
(1)
neural circuit
(1)
adversarial learning
(1)
representation learning
(1)
Papers
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
ICML 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process
ICLR 2025
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
ICML 2025
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
NIPS 2024
Measuring Per-Unit Interpretability at Scale Without Humans
NIPS 2024
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
NIPS 2024
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
NIPS 2021
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
NIPS 2020
Neural system identification for large populations separating βwhatβ and βwhereβ
NIPS 2017