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Jonas Dippel
Jonas Dippel
TU Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
Human alignment of neural network representations
L Muttenthaler, J Dippel, L Linhardt, RA Vandermeulen, S Kornblith
International Conference on Learning Representations, 2023
272023
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
J Dippel, S Vogler, J Höhne
ICML Workshop: Self-Supervised Learning for Reasoning and Perception, 2021
162021
Toward explainable artificial intelligence for precision pathology
F Klauschen, J Dippel, P Keyl, P Jurmeister, M Bockmayr, A Mock, ...
Annual Review of Pathology: Mechanisms of Disease 19, 541-570, 2024
112024
Improving neural network representations using human similarity judgments
L Muttenthaler, L Linhardt, J Dippel, RA Vandermeulen, K Hermann, ...
Advances in Neural Information Processing Systems (NeurIPS) 36, 2023
92023
Automated data retrieval from large-scale distributed satellite systems
D Krupke, V Schaus, A Haas, M Perk, J Dippel, B Grzesik, MKB Larbi, ...
2019 IEEE 15th international conference on automation science and …, 2019
52019
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
J Dippel, M Lenga, T Goerttler, K Obermayer, J Höhne
arXiv preprint arXiv:2207.14508, 2022
22022
RudolfV: A Foundation Model by Pathologists for Pathologists
J Dippel, B Feulner, T Winterhoff, S Schallenberg, G Dernbach, A Kunft, ...
arXiv preprint arXiv:2401.04079, 2024
12024
Explainable artificial intelligence in pathology
F Klauschen, J Dippel, P Keyl, P Jurmeister, M Bockmayr, A Mock, ...
Pathologie (Heidelberg, Germany), 2024
2024
Erklärbare Künstliche Intelligenz in der Pathologie
F Klauschen, J Dippel, P Keyl, P Jurmeister, M Bockmayr, A Mock, ...
Die Pathologie, 1-7, 2024
2024
Representation learning
J Dippel, S Vogler, J Höhne
US Patent App. 18/038,182, 2024
2024
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