Chung, SueYeon
- 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 · 7 citations
Computer Science · Neuroscience · #Neurobiology of Language and Bilingualism #Text Readability and Simplification #Topic Modeling #cs.CL
- Emergence of Separable Manifolds in Deep Language Representations
2020/06/01 by Jonathan Mamou, Mamou, Jonathan, Hang Le +11 · 5 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
2023/03/06 by Thomas Yerxa, Yerxa, Thomas, Yilun Kuang +5 · 6 citations
Neuroscience · Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural dynamics and brain function #Neural Networks and Applications #Cell Image Analysis Techniques
- On the geometry of generalization and memorization in deep neural networks
2021/05/30 by Cory Stephenson, Suchismita Padhy, Stephenson, Cory +9 · 4 citations
Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- A Spectral Theory of Neural Prediction and Alignment
2023/09/22 by Abdülkadir Canatar, Abdulkadir Canatar, Canatar, Abdulkadir +7 · 1 voice · 4 citations
Neuroscience · #Functional Brain Connectivity Studies #Neural dynamics and brain function #Visual perception and processing mechanisms #cs.AI #q-bio.NC
- Neuroscience needs Network Science
2023/05/10 by Barabási, Dániel L, Bianconi, Ginestra, Bullmore, Ed +17 · 4 citations
#FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
- Untangling in Invariant Speech Recognition
2020/03/03 by Cory Stephenson, Jenelle Feather, Stephenson, Cory +11 · 6 citations
Computer Science · Neuroscience · #Speech and Audio Processing #Music and Audio Processing #Hearing Loss and Rehabilitation
- On 1/n neural representation and robustness
2020/12/08 by Josue Nassar, Nassar, Josue, Piotr Sokół +7 · 3 citations
Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function
- 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 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Credit Assignment Through Broadcasting a Global Error Vector
2021/06/08 by David G. Clark, L. F. Abbott, Clark, David G. +3 · 2 citations
Engineering · Computer Science · #Advanced Memory and Neural Computing #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
- Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
2021/11/12 by Joel Dapello, Jenelle Feather, Dapello, Joel +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
- Neural population geometry and optimal coding of tasks with shared latent structure
2024/02/26 by Albert J. Wakhloo, Will Slatton, Wakhloo, Albert J. +3 · 1 voice · 2 citations
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)
- The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks
2022/02/05 by Samuel Lippl, Lippl, Samuel, L. F. Abbott +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
- Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
2024/06/13 by Rylan Schaeffer, Schaeffer, Rylan, Victor Lecomte +23 · 2 citations
Computer Science · Medicine · #Topological and Geometric Data Analysis #Medical Imaging Techniques and Applications
- 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
- Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
2023/12/21 by Michael Kuoch, Kuoch, Michael, Chi-Ning Chou +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- 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