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Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Nov 12, 2021
Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks

Aug 26, 2021
Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee

* 29 pages (13 main, 16 supplemental), 22 figures (5 main, 17 supplemental) 

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Credit Assignment Through Broadcasting a Global Error Vector

Jun 08, 2021
David G. Clark, L. F. Abbott, SueYeon Chung

* 18 pages, 6 figures 

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Statistical Mechanics of Neural Processing of Object Manifolds

Jun 01, 2021
SueYeon Chung

* PhD thesis, Harvard University, Cambridge, Massachusetts, USA. 2017. Some chapters report joint work 

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On the geometry of generalization and memorization in deep neural networks

May 30, 2021
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung

* ICLR 2021 

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Neural population geometry: An approach for understanding biological and artificial neural networks

Apr 17, 2021
SueYeon Chung, L. F. Abbott

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Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models

Apr 15, 2021
Matteo Alleman, Jonathan Mamou, Miguel A Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung

* 12 pages, 7 figures 

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On 1/n neural representation and robustness

Dec 08, 2020
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung, Kenneth D. Harris, Il Memming Park

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Emergence of Separable Manifolds in Deep Language Representations

Jun 06, 2020
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung

* 8 pages. 8 figures. Accepted to ICML 2020 

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Untangling in Invariant Speech Recognition

Mar 03, 2020
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung

* Advances in Neural Information Processing Systems. 2019 

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Classification and Geometry of General Perceptual Manifolds

Jun 24, 2018
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky

* Phys. Rev. X 8, 031003 (2018) 
* 24 pages, 12 figures, Supplementary Materials 

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Learning Data Manifolds with a Cutting Plane Method

May 28, 2017
SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee

* Neural Computation. Volume:30, Issue:10, (2018) pp.2593-2615 

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Linear Readout of Object Manifolds

Aug 21, 2016
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky

* Phys. Rev. E 93, 060301 (R) (2016) 
* 5 pages, 3 figures, accepted in Physical Review E as Rapid Communication on 14th May. 2016 

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