SueYeon Chung

1. Classification and Geometry of General Perceptual Manifolds
   2018/07/05 by SueYeon Chung, Daniel D. Lee, Haim Sompolinsky · 1 voice · 18 citations
   Neuroscience · Computer Science · #Visual perception and processing mechanisms #Neural Networks and Applications #Face and Expression Recognition
2. Neural population geometry: An approach for understanding biological and artificial neural networks
   2021/10/01 by SueYeon Chung, L.F. Abbott · 9 citations
3. The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
   2025/02/11 by Artem Kirsanov, Chi-Ning Chou, Kirsanov, Artem +5 · 2 voices · 6 citations
   Computer Science · Neuroscience · #Neurobiology of Language and Bilingualism #Text Readability and Simplification #Topic Modeling #cs.CL
4. Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
   2023/03/06 by Thomas Yerxa, Yilun Kuang, Yerxa, Thomas +5 · 4 citations
   Neuroscience · Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural dynamics and brain function #Neural Networks and Applications #Cell Image Analysis Techniques
5. A Spectral Theory of Neural Prediction and Alignment
   2023/09/22 by Abdülkadir Canatar, Abdulkadir Canatar, Jenelle Feather +7 · 1 voice · 3 citations
   Neuroscience · #Functional Brain Connectivity Studies #Neural dynamics and brain function #Visual perception and processing mechanisms #cs.AI #q-bio.NC
6. Untangling in Invariant Speech Recognition
   2020/03/03 by Cory Stephenson, Jenelle Feather, Stephenson, Cory +11 · 4 citations
   Computer Science · Neuroscience · #Speech and Audio Processing #Music and Audio Processing #Hearing Loss and Rehabilitation
7. Credit Assignment Through Broadcasting a Global Error Vector
   2021/06/08 by David G. Clark, Clark, David G., L. F. Abbott +3 · 2 citations
   Engineering · Computer Science · #Advanced Memory and Neural Computing #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
8. Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
   2021/11/12 by Joel Dapello, Dapello, Joel, Jenelle Feather +13 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Physical Unclonable Functions (PUFs) and Hardware Security
9. On 1/n neural representation and robustness
   2020/12/08 by Josue Nassar, Piotr Sokół, Nassar, Josue +7 · 1 citation
   Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function
10. Syntactic Perturbations Reveal Representational Correlates of\n Hierarchical Phrase Structure in Pretrained Language Models
    2021/04/15 by Matteo Alleman, Alleman, Matteo, Jonathan Mamou +9 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
11. The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks
    2022/02/05 by Samuel Lippl, L. F. Abbott, Lippl, Samuel +3 · 1 citation
    Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #Stochastic Gradient Optimization Techniques
12. Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
    2025/02/20 by Chanwoo Chun, Abdülkadir Canatar, Chun, Chanwoo +5 · 2 citations
    Computer Science · #Neural Networks and Applications
13. Neural population geometry and optimal coding of tasks with shared latent structure
    2024/02/26 by Albert J. Wakhloo, Wakhloo, Albert J., Will Slatton +3 · 1 voice · 1 citation
    Computer Science · Neuroscience · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Statistical Mechanics (cond-mat.stat-mech)
14. Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
    2024/06/13 by Rylan Schaeffer, Schaeffer, Rylan, Victor Lecomte +23 · 1 citation
    Computer Science · Medicine · #Topological and Geometric Data Analysis #Medical Imaging Techniques and Applications
15. Spectral Analysis of Representational Similarity with Limited Neurons
    2025/02/27 by Hyunmo Kang, Kang, Hyunmo, Abdülkadir Canatar +3 · 1 citation
    Neuroscience · #Neural dynamics and brain function #Face Recognition and Perception #Functional Brain Connectivity Studies