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Jonas Dippel
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Conference and Workshop Papers
- 2023
- [c3]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen
, Simon Kornblith:
Human alignment of neural network representations. ICLR 2023 - [c2]Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith:
Improving neural network representations using human similarity judgments. NeurIPS 2023 - 2019
- [c1]Dominik Krupke, Volker Schaus
, Andreas Haas, Michael Perk
, Jonas Dippel, Benjamin Grzesik, Mohamed Khalil Ben Larbi, Enrico Stoll
, Tom Haylock, Harald Konstanski, Kattia Flores Pozo, Mirue Choi, Christian Schurig, Sándor P. Fekete:
Automated Data Retrieval from Large-Scale Distributed Satellite Systems. CASE 2019: 1789-1795
Informal and Other Publications
- 2024
- [i7]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. CoRR abs/2401.04079 (2024) - [i6]Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller:
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. CoRR abs/2406.04280 (2024) - [i5]Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen:
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR abs/2406.14866 (2024) - 2023
- [i4]Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith:
Improving neural network representations using human similarity judgments. CoRR abs/2306.04507 (2023) - 2022
- [i3]Jonas Dippel, Matthias Lenga, Thomas Goerttler, Klaus Obermayer, Johannes Höhne:
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. CoRR abs/2207.14508 (2022) - [i2]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. CoRR abs/2211.01201 (2022) - 2021
- [i1]Jonas Dippel, Steffen Vogler, Johannes Höhne:
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling. CoRR abs/2104.04323 (2021)
Coauthor Index
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