SueYeon Chung - RankMe

45 papers A* 11A 1Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diagnosing Generalization Failures from Representational Geometry Markers. CoRR Chi-Ning Chou, Artem Kirsanov, Yao-Yuan Yang, SueYeon Chung
2026	J	`jnl`	Emergent Manifold Separability during Reasoning in Large Language Models. CoRR Alexandre Polo, Chanwoo Chun, SueYeon Chung
2025	J	`jnl`	Estimating Dimensionality of Neural Representations from Finite Samples. CoRR Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung, Daniel D. Lee
2025	A	`conf`	Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. AISTATS Chanwoo Chun, SueYeon Chung, Daniel D. Lee
2025	A*	`conf`	Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry. ICML Chi-Ning Chou, Hang Le, Yichen Wang, SueYeon Chung
2025	J	`jnl`	Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry. CoRR Chi-Ning Chou, Hang Le, Yichen Wang, SueYeon Chung
2025	J	`jnl`	Spectral Analysis of Representational Similarity with Limited Neurons. CoRR Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung
2025	—	`conf`	The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models. NAACL (Findings) Artem Kirsanov, Chi-Ning Chou, Kyunghyun Cho, SueYeon Chung
2025	J	`jnl`	The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models. CoRR Artem Kirsanov, Chi-Ning Chou, Kyunghyun Cho, SueYeon Chung
2024	A*	`conf`	Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT. NeurIPS Thomas E. Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung
2024	J	`jnl`	Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. CoRR Chanwoo Chun, SueYeon Chung, Daniel D. Lee
2024	J	`jnl`	Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure. CoRR Albert J. Wakhloo, Will Slatton, SueYeon Chung
2024	J	`jnl`	Nonlinear classification of neural manifolds with contextual information. CoRR Francesca Mignacco, Chi-Ning Chou, SueYeon Chung
2024	—	`conf`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CPAL Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2024	J	`jnl`	Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo
2023	A*	`conf`	A Spectral Theory of Neural Prediction and Alignment. NeurIPS Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung
2023	J	`jnl`	A Spectral Theory of Neural Prediction and Alignment. CoRR Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung
2023	A*	`conf`	Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. NeurIPS Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023	J	`jnl`	Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. CoRR Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023	J	`jnl`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2023	—	`conf`	Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry. UniReps Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N. Pitcher, Marla Feller, SueYeon Chung
2022	A*	`conf`	Divisive Feature Normalization Improves Image Recognition Performance in AlexNet. ICLR Michelle Miller, SueYeon Chung, Kenneth D. Miller
2022	J	`jnl`	Linear Classification of Neural Manifolds with Correlated Variability. CoRR Albert J. Wakhloo, Tamara J. Sussman, SueYeon Chung
2022	J	`jnl`	The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks. CoRR Samuel Lippl, L. F. Abbott, SueYeon Chung
2021	A*	`conf`	Credit Assignment Through Broadcasting a Global Error Vector. NeurIPS David G. Clark, L. F. Abbott, SueYeon Chung
2021	J	`jnl`	Credit Assignment Through Broadcasting a Global Error Vector. CoRR David G. Clark, L. F. Abbott, SueYeon Chung
2021	A*	`conf`	Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. NeurIPS Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung
2021	J	`jnl`	Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. CoRR Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung
2021	J	`jnl`	Neural population geometry: An approach for understanding biological and artificial neural networks. CoRR SueYeon Chung, L. F. Abbott
2021	A*	`conf`	On the geometry of generalization and memorization in deep neural networks. ICLR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	J	`jnl`	On the geometry of generalization and memorization in deep neural networks. CoRR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	J	`jnl`	Statistical Mechanics of Neural Processing of Object Manifolds. CoRR SueYeon Chung
2021	—	`conf`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2021	J	`jnl`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2021	J	`jnl`	Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. CoRR Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee
2020	A*	`conf`	Emergence of Separable Manifolds in Deep Language Representations. ICML Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Emergence of Separable Manifolds in Deep Language Representations. CoRR Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	A*	`conf`	On 1/n neural representation and robustness. NeurIPS Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
2020	J	`jnl`	On 1/n neural representation and robustness. CoRR Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
2020	J	`jnl`	Untangling in Invariant Speech Recognition. CoRR Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2019	A*	`conf`	Untangling in Invariant Speech Recognition. NeurIPS Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2018	J	`jnl`	Learning Data Manifolds with a Cutting Plane Method. Neural Comput. SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee
2017	J	`jnl`	Classification and Geometry of General Perceptual Manifolds. CoRR SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
2017	J	`jnl`	Learning Data Manifolds with a Cutting Plane Method. CoRR SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee
2015	J	`jnl`	Classification of Manifolds by Single-Layer Neural Networks. CoRR SueYeon Chung, Daniel D. Lee, Haim Sompolinsky