Konrad Kording

6 papers · 2018–2023 · 4 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🚀 Conference Pioneer

Conferences

ICLR (3) CLEAR (1) ECCV (1) ICML (1)

Top co-authors

David Rolnick (2) Alexander Ihler (1) Julian Yarkony (1) Tony Liu (1) Jordan Guerguiev (1) Ari Benjamin (1) Arna Ghosh (1) Shaofei Wang (1) Patrick Lawlor (1) Yuhan Helena Liu (1)

Keywords

causal inference (1) network architecture (1) neural network interpretability (1) piecewise linear function (1) machine learning (1) treatment effect (1) relu network (1) instrumental variable (1) regression discontinuity (1) weight recovery (1) region boundaries (1)

Papers

How gradient estimator variance and bias impact learning in neural networks ICLR 2023

Data-driven exclusion criteria for instrumental variable studies CLEAR 2022

Spike-based causal inference for weight alignment ICLR 2020

Reverse-engineering deep ReLU networks ICML 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