Selected Publications [all publications]
(*: co-first, +: co-last)
Variations in Neuronal Selectivity Create Efficient Representational Geometries for Perception
Sonica Saraf, Tony Movshon, SueYeon Chung
bioRxiv 2025.06.26.661754
Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure
Albert J. Wakhloo, Will Slatton, SueYeon Chung
arXiv:2402.16770
Geometry Linked to Untangling Efficiency Reveals Structure and Computation in Neural Populations
Chi-Ning Chou, Royoung Kim, Luke A. Arend, Yao-Yuan Yang, Brett D. Mensh, Won Mok Shim, Matthew G. Perich, SueYeon Chung
bioRxiv 2024.02.26.582157
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou*, Hang Le*, Yichen Wang, SueYeon Chung
ICML (2025)
Selected for Spotlight Presentation
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
Thomas Yerxa, Jenelle Feather, Eero Simoncelli, SueYeon Chung
NeurIPS (2024)
A Spectral Theory of Neural Prediction and Alignment
Abdulkadir Canatar*, Jenelle Feather*, Albert Wakhloo, SueYeon Chung
NeurIPS (2023) [arXiv version]
Selected for Spotlight Presentation
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Thomas Yerxa, Yilun Kuang, Eero Simoncelli, SueYeon Chung
NeurIPS (2023) [arXiv version]
Linear Classification of Neural Manifolds with Correlated Variability
Albert Wakhloo, Tamara J. Sussman, SueYeon Chung
Physical Review Letters (2023) [arXiv version] [Viewpoint]
Selected for Editors' Suggestion, Featured in Physics
Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L.F. Abbott
Current Opinion in Neurobiology (2021)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Joel Dapello*, Jenelle Feather*, Hang Le*, Tiago Marques, David Cox, Josh McDermott, Jim DiCarlo, SueYeon Chung
NeurIPS (2021)
On the Geometry of Generalization and Memorization in Deep Neural Networks
Cory Stephenson*, Suchismita Padhy*, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
ICLR (2021)
Emergence of Separable Manifolds in Deep Language Representations
Jonathan Mamou*, Hang Le*, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
ICML (2020) [Supplementary Materials] [Code]
Separability and Geometry of Object Manifolds in Deep Neural Networks
Uri Cohen*, SueYeon Chung*, Daniel D. Lee, Haim Sompolinsky
Nature Communications (2020) [Supplementary Materials] [BioRxiv version] [Code]
Untangling in Invariant Speech Recognition
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
NeurIPS (2019) [Supplementary Materials] [Code]
Classification and Geometry of General Perceptual Manifolds
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
Physical Review X (2018) [Supplementary Materials]
Linear Readout of Object Manifolds
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
Physical Review E, Rapid Communications (2016) [Supplementary Materials]