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03/06/2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Self-supervised Learning (SSL) provides a strategy for constructing usef...
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11/27/2022
Linear Classification of Neural Manifolds with Correlated Variability
Understanding how the statistical and geometric properties of neural act...
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02/05/2022
The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks
Understanding the asymptotic behavior of gradient-descent training of de...
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11/12/2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Adversarial examples are often cited by neuroscientists and machine lear...
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08/26/2021
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
Adversarial defenses train deep neural networks to be invariant to the i...
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06/08/2021
Credit Assignment Through Broadcasting a Global Error Vector
Backpropagation (BP) uses detailed, unit-specific feedback to train deep...
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06/01/2021
Statistical Mechanics of Neural Processing of Object Manifolds
Invariant object recognition is one of the most fundamental cognitive ta...
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05/30/2021
On the geometry of generalization and memorization in deep neural networks
Understanding how large neural networks avoid memorizing training data i...
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04/15/2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
While vector-based language representations from pretrained language mod...
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04/14/2021
Neural population geometry: An approach for understanding biological and artificial neural networks
Advances in experimental neuroscience have transformed our ability to ex...
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12/08/2020
On 1/n neural representation and robustness
Understanding the nature of representation in neural networks is a goal ...
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06/01/2020
Emergence of Separable Manifolds in Deep Language Representations
Deep neural networks (DNNs) have shown much empirical success in solving...
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03/03/2020
Untangling in Invariant Speech Recognition
Encouraged by the success of deep neural networks on a variety of visual...
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10/17/2017
Classification and Geometry of General Perceptual Manifolds
Perceptual manifolds arise when a neural population responds to an ensem...
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05/28/2017
Learning Data Manifolds with a Cutting Plane Method
We consider the problem of classifying data manifolds where each manifol...
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12/06/2015