Image de couverture de livre

Solving adversarial examples requires solving exponential misalignment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Salvatore, Alessandro, Fort, Stanislav, Ganguli, Surya
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Disordered Systems and Neural Networks Neurons and Cognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An analytic theory of creativity in convolutional diffusion models
par: Kamb, Mason, et autres
Publié: (2024)

Short-term plasticity recalls forgotten memories through a trampoline mechanism
par: Del Gaudio, Martina, et autres
Publié: (2025)

Spectral Analysis of Representational Similarity with Limited Neurons
par: Kang, Hyunmo, et autres
Publié: (2025)

Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
par: Ruben, Benjamin S., et autres
Publié: (2023)

L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data
par: Endo, Yusuke, et autres
Publié: (2024)

Dynamically Learning to Integrate in Recurrent Neural Networks
par: Bordelon, Blake, et autres
Publié: (2025)

Statistical Mechanics of Support Vector Regression
par: Canatar, Abdulkadir, et autres
Publié: (2024)

Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of reservoir recurrent neural networks
par: Takasu, Shotaro, et autres
Publié: (2025)

Proof of a perfect platonic representation hypothesis
par: Ziyin, Liu, et autres
Publié: (2025)

Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
par: Badalotti, Davide, et autres
Publié: (2025)

Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
par: Mannelli, Stefano Sarao, et autres
Publié: (2024)

Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks
par: Umar, Ali Hussaini, et autres
Publié: (2026)

Fermi-Bose Machine achieves both generalization and adversarial robustness
par: Xie, Mingshan, et autres
Publié: (2024)

A robust balancing mechanism for spiking neural networks
par: Politi, Antonio, et autres
Publié: (2024)

Discrete synaptic events induce global oscillations in balanced neural networks
par: Goldobin, Denis S., et autres
Publié: (2023)

Coexistence of asynchronous and clustered dynamics in noisy inhibitory neural networks
par: Feld, Yannick, et autres
Publié: (2024)

Coherent oscillations in balanced neural networks driven by endogenous fluctuations
par: Di Volo, Matteo, et autres
Publié: (2021)

Synaptic shot-noise triggers fast and slow global oscillations in balanced neural networks
par: Goldobin, Denis S., et autres
Publié: (2025)

Novel Kuramoto model with inhibition dynamics modeling scale-free avalanches and synchronization in neuronal cultures
par: Lucente, Dario, et autres
Publié: (2025)

A generalized neural tangent kernel for surrogate gradient learning
par: Eilers, Luke, et autres
Publié: (2024)

DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts
par: Shuvaev, Sergey, et autres
Publié: (2024)

Neural Langevin Machine: a local asymmetric learning rule can be creative
par: Yu, Zhendong, et autres
Publié: (2025)

Collective Dynamics in Spiking Neural Networks Beyond Dale's Principle
par: Ah-Weng, Ross, et autres
Publié: (2026)

Linear Readout of Neural Manifolds with Continuous Variables
par: Slatton, Will, et autres
Publié: (2026)

Finite integration time can shift optimal sensitivity away from criticality
par: Azizpour, Sahel, et autres
Publié: (2026)

Dreaming improves memorization in a Hopfield model with bounded synaptic strength
par: Marinari, Enzo, et autres
Publié: (2026)

Solution of a large nonlinear recurrent neural network at fixed connectivity
par: Wakhloo, Albert J.
Publié: (2026)

On the synaptic matrix eigenvalues of sparsely connected neural networks
par: Ansari, Mohd. Gayas, et autres
Publié: (2026)

Linear equivalence of nonlinear recurrent neural networks
par: Clark, David G.
Publié: (2026)

Statistical mechanics for networks of real neurons
par: Meshulam, Leenoy, et autres
Publié: (2024)

Non-stationary dynamics of interspike intervals in neuronal populations
par: Falorsi, Luca, et autres
Publié: (2025)

Task learning through stimulation-induced plasticity in neural networks
par: Borra, Francesco, et autres
Publié: (2024)

Self-consistent stochastic dynamics for finite-size networks of spiking neurons
par: Vinci, Gianni V., et autres
Publié: (2021)

Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation
par: Mahrach, Alexandre, et autres
Publié: (2019)

The FlEye camera: Sampling the joint distribution of natural scenes and motion
par: Edelson, Charles J., et autres
Publié: (2024)

Metastability in networks of nonlinear stochastic integrate-and-fire neurons
par: Paliwal, Siddharth, et autres
Publié: (2024)

Information dynamics of $in\; silico$ EEG Brain Waves: Insights into oscillations and functions
par: Menesse, Gustavo, et autres
Publié: (2023)

Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors
par: Liu, Zihan, et autres
Publié: (2024)

Impact of dendritic non-linearities on the computational capabilities of neurons
par: Lauditi, Clarissa, et autres
Publié: (2024)

Effect of Synaptic Heterogeneity on Neuronal Coordination
par: Layer, Moritz, et autres
Publié: (2023)