3 citations · 3 across the 4 of their papers we have counts for
5 papers
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas +3
Globally interpretable models are a promising approach for trustworthy AI in safety-critical domains. Alongside global explanations, detailed local explanations are a crucial compl…
QPM: Discrete Optimization for Globally Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas +2
Understanding the classifications of deep neural networks, e.g. used in safety-critical situations, is becoming increasingly important. While recent models can locally explain a si…
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Akshaya Jagannadharao, Nicole Beckage, Sovan Biswas +6
Concerns about the environmental footprint of machine learning are increasing. While studies of energy use and emissions of ML models are a growing subfield, most ML researchers an…
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing
Ramesh Manuvinakurike, Elizabeth Watkins, Celal Savur +7
In this work we explore utilizing LLMs for data augmentation for manufacturing task guidance system. The dataset consists of representative samples of interactions with technicians…
Unsupervised Welding Defect Detection Using Audio And Video
Georg Stemmer, Jose A. Lopez, Juan A. Del Hoyo Ontiveros +3
In this work we explore the application of AI to robotic welding. Robotic welding is a widely used technology in many industries, but robots currently do not have the capability to…