activity
20182025
most citedAutomated Machine Learning in Practice: State of the Art and Recent Results

106 citations · 160 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

COGITAO: A Visual Reasoning Framework To Study Compositionality & Generalization

Yassine Taoudi-Benchekroun, Klim Troyan, Pascal Sager +3

The ability to compose learned concepts and apply them in novel settings is key to human intelligence, but remains a persistent limitation in state-of-the-art machine learning mode…

cs.CV2025

A document is worth a structured record: Principled inductive bias design for document recognition

Benjamin Meyer, Lukas Tuggener, Sascha Hänzi +5

Many document types use intrinsic, convention-driven structures that serve to encode precise and structured information, such as the conventions governing engineering drawings. How…

cs.CV2023

Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation

Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber

Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearances. Artificial pattern recognizers also strive to ach…

cs.CV2023★ 8 cited

Video object detection for privacy-preserving patient monitoring in intensive care

Raphael Emberger, Jens Michael Boss, Daniel Baumann +5

Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are bu…

cs.CV2021★ 29 cited

Is it enough to optimize CNN architectures on ImageNet?

Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann

Classification performance based on ImageNet is the de-facto standard metric for CNN development. In this work we challenge the notion that CNN architecture design solely based on…

cs.LG2019★ 106 cited

Automated Machine Learning in Practice: State of the Art and Recent Results

Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach +4

A main driver behind the digitization of industry and society is the belief that data-driven model building and decision making can contribute to higher degrees of automation and m…