default search action
SueYeon Chung
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i22]Albert J. Wakhloo, Will Slatton, SueYeon Chung:
Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure. CoRR abs/2402.16770 (2024) - [i21]Francesca Mignacco, Chi-Ning Chou, SueYeon Chung:
Nonlinear classification of neural manifolds with contextual information. CoRR abs/2405.06851 (2024) - [i20]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:
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR abs/2406.09366 (2024) - [i19]Chanwoo Chun, SueYeon Chung, Daniel D. Lee:
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. CoRR abs/2410.17998 (2024) - 2023
- [c11]Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung:
A Spectral Theory of Neural Prediction and Alignment. NeurIPS 2023 - [c10]Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung:
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. NeurIPS 2023 - [c9]Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N. Pitcher, Marla Feller, SueYeon Chung:
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry. UniReps 2023: 194-208 - [i18]Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung:
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. CoRR abs/2303.03307 (2023) - [i17]Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung:
A Spectral Theory of Neural Prediction and Alignment. CoRR abs/2309.12821 (2023) - [i16]Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung:
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR abs/2312.14285 (2023) - 2022
- [c8]Michelle Miller, SueYeon Chung, Kenneth D. Miller:
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet. ICLR 2022 - [i15]Samuel Lippl, L. F. Abbott, SueYeon Chung:
The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks. CoRR abs/2202.02649 (2022) - [i14]Albert J. Wakhloo, Tamara J. Sussman, SueYeon Chung:
Linear Classification of Neural Manifolds with Correlated Variability. CoRR abs/2211.14961 (2022) - 2021
- [c7]Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung:
On the geometry of generalization and memorization in deep neural networks. ICLR 2021 - [c6]David G. Clark, L. F. Abbott, SueYeon Chung:
Credit Assignment Through Broadcasting a Global Error Vector. NeurIPS 2021: 10053-10066 - [c5]Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung:
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. NeurIPS 2021: 15595-15607 - [c4]Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung:
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP 2021: 263-276 - [i13]SueYeon Chung, L. F. Abbott:
Neural population geometry: An approach for understanding biological and artificial neural networks. CoRR abs/2104.07059 (2021) - [i12]Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung:
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR abs/2104.07578 (2021) - [i11]Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung:
On the geometry of generalization and memorization in deep neural networks. CoRR abs/2105.14602 (2021) - [i10]SueYeon Chung:
Statistical Mechanics of Neural Processing of Object Manifolds. CoRR abs/2106.00790 (2021) - [i9]David G. Clark, L. F. Abbott, SueYeon Chung:
Credit Assignment Through Broadcasting a Global Error Vector. CoRR abs/2106.04089 (2021) - [i8]Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee:
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. CoRR abs/2108.12001 (2021) - [i7]Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung:
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. CoRR abs/2111.06979 (2021) - 2020
- [c3]Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung:
Emergence of Separable Manifolds in Deep Language Representations. ICML 2020: 6713-6723 - [c2]Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park:
On 1/n neural representation and robustness. NeurIPS 2020 - [i6]Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung:
Untangling in Invariant Speech Recognition. CoRR abs/2003.01787 (2020) - [i5]Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung:
Emergence of Separable Manifolds in Deep Language Representations. CoRR abs/2006.01095 (2020) - [i4]Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park:
On 1/n neural representation and robustness. CoRR abs/2012.04729 (2020)
2010 – 2019
- 2019
- [c1]Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung:
Untangling in Invariant Speech Recognition. NeurIPS 2019: 14368-14378 - 2018
- [j1]SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee:
Learning Data Manifolds with a Cutting Plane Method. Neural Comput. 30(10) (2018) - 2017
- [i3]SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee:
Learning Data Manifolds with a Cutting Plane Method. CoRR abs/1705.09944 (2017) - [i2]SueYeon Chung, Daniel D. Lee, Haim Sompolinsky:
Classification and Geometry of General Perceptual Manifolds. CoRR abs/1710.06487 (2017) - 2015
- [i1]SueYeon Chung, Daniel D. Lee, Haim Sompolinsky:
Classification of Manifolds by Single-Layer Neural Networks. CoRR abs/1512.01834 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint