Sophie Langer

According to our database, Sophie Langer authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Green's function efficiently using low-rank approximations.

Kishan Wimalawarne, Taiji Suzuki, Sophie Langer

Mach. Learn., October, 2025

On the expressivity of deep Heaviside networks.

Insung Kong, Juntong Chen, Sophie Langer, Johannes Schmidt-Hieber

CoRR, May, 2025

Training Diagonal Linear Networks with Stochastic Sharpness-Aware Minimization.

Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber

CoRR, March, 2025

2024

Dropout Regularization Versus l2-Penalization in the Linear Model.

Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber

J. Mach. Learn. Res., 2024

On the VC dimension of deep group convolutional neural networks.

Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber

CoRR, 2024

2022

Estimation of a Function of Low Local Dimensionality by Deep Neural Networks.

Michael Kohler, Adam Krzyzak, Sophie Langer

IEEE Trans. Inf. Theory, 2022

2021

Approximating smooth functions by deep neural networks with sigmoid activation function.

Sophie Langer

J. Multivar. Anal., 2021

Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function.

Sophie Langer

J. Multivar. Anal., 2021

2019

Deep Learning and MARS: A Connection.

Michael Kohler, Adam Krzyzak, Sophie Langer

CoRR, 2019

On the rate of convergence of fully connected very deep neural network regression estimates.

Michael Kohler, Sophie Langer

CoRR, 2019