Publications associées à Deep Learning Theory Through the Lens of Diagonal Linear Networks

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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Exploring neural networks and their potential for species distribution modeling

Incremental Learning in Diagonal Linear Networks

Time Series Analysis of Urban Liveability

Spatially adaptive machine learning models for predicting water quality in Hong Kong

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Generalization Properties of NAS under Activation and Skip Connection Search

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Exploring neural networks and their potential for species distribution modeling

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Time Series Analysis of Urban Liveability

Spatially adaptive machine learning models for predicting water quality in Hong Kong

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Incremental Learning in Diagonal Linear Networks

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Generalization Properties of NAS under Activation and Skip Connection Search