Tom Neuhäuser
Tom Neuhäuser
Affiliation: BIFOLD
Tom Neuhäuser is a doctoral researcher in the Machine Learning Group at Technische Universität Berlin. He received his master’s degree in computer science with a specialization in cognitive systems. Before joining the Machine Learning Group, he worked as AI Lead at the green-tech start-up Hortiya. Tom’s research focuses on the application of machine learning to cognitive science and digital pathology, as well as explainable artificial intelligence.
Representational Alignment, Digital Pathology, Explainable Artificial Intelligence
Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
Frieda Born, Tom Neuhäuser, Lukas Muttenthaler, Brett D Roads, Bernhard Spitzer, Andrew Kyle Lampinen, Matt Jones, Klaus Robert Muller, Michael Curtis Mozer
Context Sensitivity Improves Human-Machine Visual Alignment
Lorenz Linhardt, Tom Neuhäuser, Lenka Tětková, Oliver Eberle