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T. Martinetz

4 papers hereh-index 378.9k citations193 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation

Manuel Laufer, Dominik Mairhöfer, Malte Sieren +7

An adequate diagnostic quality of radiographs is essential for reliable diagnoses and treatment planning. The patient's pose during radiography is one of the most important factors…

cs.CV2024

Convolutional Neural Networks Do Work with Pre-Defined Filters

Christoph Linse, Erhardt Barth, Thomas Martinetz

We present a novel class of Convolutional Neural Networks called Pre-defined Filter Convolutional Neural Networks (PFCNNs), where all nxn convolution kernels with n>1 are pre-defin…

cs.CV2024

Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks

Christoph Linse, Erhardt Barth, Thomas Martinetz

Activation maximization (AM) strives to generate optimal input stimuli, revealing features that trigger high responses in trained deep neural networks. AM is an important method of…

cs.LG2024

Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes

Julius Martinetz, Christoph Linse, Thomas Martinetz

We investigate the learning dynamics of classifiers in scenarios where classes are separable or classifiers are over-parameterized. In both cases, Empirical Risk Minimization (ERM)…

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