SueYeon Chung
14 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(68)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(9)
Optimization & Theory
(8)
Core Methods
(7)
Artificial Intelligence
(6)
Architectures
(6)
Core AI
(5)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Generation
(2)
Learning Types Β· Machine Learning
(2)
Techniques
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Keywords
representation learning
(4)
neural network
(3)
adversarial robustness
(2)
self-supervised learning
(2)
neural representation
(2)
linear separability
(2)
representation geometry
(2)
representational geometry
(2)
geometric analysis
(2)
visual perception
(1)
batch normalization
(1)
speech recognition
(1)
prompt engineering
(1)
out-of-distribution generalization
(1)
manifold learning
(1)
mean field theory
(1)
dynamic programming
(1)
in-context learning
(1)
efficient coding
(1)
model alignment
(1)
Papers
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
AISTATS 2025
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
ICML 2025
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
NAACL 2025
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
NeurIPS 2024
A Spectral Theory of Neural Prediction and Alignment
NeurIPS 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
NeurIPS 2023
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
ICLR 2022
Credit Assignment Through Broadcasting a Global Error Vector
NeurIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
NeurIPS 2021
On the geometry of generalization and memorization in deep neural networks
ICLR 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
ACL 2021
Emergence of Separable Manifolds in Deep Language Representations
ICML 2020
On 1/n neural representation and robustness
NeurIPS 2020
Untangling in Invariant Speech Recognition
NeurIPS 2019