Chung, SueYeon

18 publications

AISTATS 2025 Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices Chanwoo Chun, SueYeon Chung, Daniel Lee

ICML 2025 Feature Learning Beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry Chi-Ning Chou, Hang Le, Yichen Wang, Sueyeon Chung

NeurIPS 2025 Spectral Analysis of Representational Similarity with Limited Neurons Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung

NeurIPS 2024 Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT Thomas Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung

CPAL 2024 Probing Biological and Artificial Neural Networks with Task-Dependent Neural Manifolds Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung

NeurIPSW 2024 Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks William Yang, Chi-Ning Chou, SueYeon Chung

ICLRW 2024 Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations Rylan Schaeffer, Berivan Isik, Dhruv Bhandarkar Pai, Andres Carranza, Victor Lecomte, Alyssa Unell, Mikail Khona, Thomas Edward Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo

NeurIPS 2023 A Spectral Theory of Neural Prediction and Alignment Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung

NeurIPS 2023 Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations Thomas Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung

NeurIPSW 2023 Unsupervised Learning on Spontaneous Retinal Activity Leads to Efficient Neural Representation Geometry Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N Pitcher, Marla Feller, SueYeon Chung

ICLR 2022 Divisive Feature Normalization Improves Image Recognition Performance in AlexNet Michelle Miller, SueYeon Chung, Kenneth D. Miller

NeurIPSW 2022 Geometry Reveals an Instructive Role of Retinal Waves as Biologically Plausible Pre-Training Signals Andrew Ligeralde, Miah N Pitcher, Marla Feller, SueYeon Chung

NeurIPS 2021 Credit Assignment Through Broadcasting a Global Error Vector David Clark, L F Abbott, Sueyeon Chung

NeurIPS 2021 Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David Cox, Josh McDermott, James J DiCarlo, Sueyeon Chung

ICLR 2021 On the Geometry of Generalization and Memorization in Deep Neural Networks Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung

ICML 2020 Emergence of Separable Manifolds in Deep Language Representations Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, Sueyeon Chung

NeurIPS 2020 On 1/n Neural Representation and Robustness Josue Nassar, Piotr Sokol, Sueyeon Chung, Kenneth D Harris, ll Memming Park

NeurIPS 2019 Untangling in Invariant Speech Recognition Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung