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Jonas Dippel

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstr. 23, 10587 Berlin
https://www.tu.berlin/en/ml

© Jonas Dippel

Jonas Dippel

Doctoral Researcher

Jonas Dippel is a research associate working in the Machine Learning/Intelligent Data analysis group at Technische Universität Berlin. He received a BS in Computer Science from Technische Universität Braunschweig in 2018 and an MS in Computer Science from Technische Universität Berlin in 2021. He is currently pursuing a PhD and his research involves medical image analysis, representation learning, anomaly detection and multimodal learning.

● Representation Learning
● Anomaly Detection
● Multimodal Learning
● Computational Pathology
● Medical Image Analysis

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon & Klaus-Robert Müller

Explainable artificial intelligence in pathology

February 05, 2024
https://doi.org/10.1007/s00292-024-01308-7

Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber

RUDOLFV: A FOUNDATION MODEL BY PATHOLOGISTS FOR PATHOLOGISTS

January 23, 2024
https://doi.org/10.48550/arXiv.2401.04079

Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Improving neural network representations using human similarity judgments

December 10, 2023
https://arxiv.org/pdf/2306.04507.pdf

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller

Toward Explainable Artificial Intelligence for Precision Pathology

October 23, 2023
https://doi.org/10.1146/annurev-pathmechdis-051222-113147

Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

Human alignment of neural network representations

October 18, 2022
https://openreview.net/forum?id=b2DmQYY-XY

News
Machine Learning| Mar 13, 2023

Do computers and humans "see" alike?

The field of computer vision has long since left the realm of research and is now used in countless daily applications, such as object recognition and measuring geometric structures of objects. One question that is not or only rarely asked is: To what extent do computer vision systems see the world in the same way that humans do?