SueYeon Chung

Orcid: 0000-0001-5726-4865

According to our database1, SueYeon Chung authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.
CoRR, 2024

Nonlinear classification of neural manifolds with contextual information.
CoRR, 2024

Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure.
CoRR, 2024

2023
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds.
CoRR, 2023

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Spectral Theory of Neural Prediction and Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Linear Classification of Neural Manifolds with Correlated Variability.
CoRR, 2022

The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks.
CoRR, 2022

Divisive Feature Normalization Improves Image Recognition Performance in AlexNet.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks.
CoRR, 2021

Statistical Mechanics of Neural Processing of Object Manifolds.
CoRR, 2021

Neural population geometry: An approach for understanding biological and artificial neural networks.
CoRR, 2021

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Credit Assignment Through Broadcasting a Global Error Vector.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the geometry of generalization and memorization in deep neural networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
On 1/n neural representation and robustness.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Emergence of Separable Manifolds in Deep Language Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Untangling in Invariant Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Learning Data Manifolds with a Cutting Plane Method.
Neural Comput., 2018

2017
Classification and Geometry of General Perceptual Manifolds.
CoRR, 2017

2015
Classification of Manifolds by Single-Layer Neural Networks.
CoRR, 2015


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