Juhan Bae
11 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5) π Cross-Pollinator (6)
πΊοΈ
Taxonomy Completionist
(17)
π
Conference Polyglot
(3)
π
Century Club
(11)
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
ICLR (4)
NIPS (4)
ICML (3)
Top co-authors
Keywords
neural network
(3)
influence function
(3)
model interpretation
(2)
hyperparameter optimization
(1)
model behavior
(1)
data valuation
(1)
deep learning
(1)
neural network optimization
(1)
loss landscape
(1)
gradient-based method
(1)
differential geometry
(1)
bilevel optimization
(1)
learning rate
(1)
weight decay
(1)
training data attribution
(1)
approximate unrolling
(1)
counterfactual prediction
(1)
parameter space
(1)
proximal point method
(1)
relu neural network
(1)
Papers
Influence Functions for Scalable Data Attribution in Diffusion Models
ICLR 2025
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
ICLR 2025
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
ICML 2024
Training Data Attribution via Approximate Unrolling
NIPS 2024
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
ICLR 2023
Efficient Parametric Approximations of Neural Network Function Space Distance
ICML 2023
If Influence Functions are the Answer, Then What is the Question?
NIPS 2022
Amortized Proximal Optimization
NIPS 2022
On Monotonic Linear Interpolation of Neural Network Parameters
ICML 2021
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
NIPS 2020