Konrad Kording
7 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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Conference Pioneer
Top co-authors
Research topics
Keywords
causal inference
(3)
catastrophic forgetting
(1)
stochastic gradient descent
(1)
multi-task learning
(1)
network architecture
(1)
neuromorphic computing
(1)
neural network interpretability
(1)
function space
(1)
gradient descent
(1)
piecewise linear function
(1)
machine learning
(1)
spiking neural network
(1)
latent variable
(1)
gradient estimator
(1)
structural causal model
(1)
biological learning
(1)
treatment effect
(1)
relu network
(1)
instrumental variable
(1)
variance-bias tradeoff
(1)
Papers
Partially Observed Structural Causal Models
UAI 2026
How gradient estimator variance and bias impact learning in neural networks
ICLR 2023
Data-driven exclusion criteria for instrumental variable studies
CLeaR 2022
Reverse-engineering deep ReLU networks
ICML 2020
Spike-based causal inference for weight alignment
ICLR 2020
Measuring and regularizing networks in function space
ICLR 2019
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation
ECCV 2018