Runa Eschenhagen
9 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(20)
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(7)
Application Areas
(3)
Models
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
variational inference
(3)
continual learning
(2)
bayesian deep learning
(2)
catastrophic forgetting
(1)
weight regularization
(1)
hyperparameter optimization
(1)
neural network training
(1)
laplace approximation
(1)
gaussian process
(1)
natural gradient descent
(1)
lifelong learning
(1)
monte carlo integration
(1)
posterior approximation
(1)
hamiltonian monte carlo
(1)
second-order optimization
(1)
uncertainty quantification
(1)
diffusion model
(1)
adaptive optimization
(1)
normalizing flow
(1)
vision transformer
(1)
Papers
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025
Influence Functions for Scalable Data Attribution in Diffusion Models
ICLR 2025
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
ICML 2024
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
ICML 2024
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
NeurIPS 2023
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
NeurIPS 2022
Laplace Redux - Effortless Bayesian Deep Learning
NeurIPS 2021
Continual Deep Learning by Functional Regularisation of Memorable Past
NeurIPS 2020
Practical Deep Learning with Bayesian Principles
NeurIPS 2019