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2020 – today
- 2024
[i11]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)- [i10]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
- [i9]Miriam Hägele, Johannes Eschrich, Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen:
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides. CoRR abs/2302.01813 (2023) - 2020
- [p3]Philipp Seegerer
, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller:
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology 2020: 16-37 - [i8]Stephanie Brandl, David Lassner, Maximilian Alber:
Balancing the composition of word embeddings across heterogenous data sets. CoRR abs/2001.04693 (2020)
2010 – 2019
- 2019
- [b1]Maximilian Alber:
Efficient learning machines: from kernel methods to deep learning. Technical University of Berlin, Germany, 2019 - [j1]Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans:
iNNvestigate Neural Networks! J. Mach. Learn. Res. 20: 93:1-93:8 (2019) - [c3]Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel:
Explanations can be manipulated and geometry is to blame. NeurIPS 2019: 13567-13578 - [p2]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of Saliency Methods. Explainable AI 2019: 267-280 - [p1]Maximilian Alber:
Software and Application Patterns for Explanation Methods. Explainable AI 2019: 399-433 - [i7]Maximilian Alber:
Software and application patterns for explanation methods. CoRR abs/1904.04734 (2019) - [i6]Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel:
Explanations can be manipulated and geometry is to blame. CoRR abs/1906.07983 (2019) - 2018
- [c2]Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne:
Learning how to explain neural networks: PatternNet and PatternAttribution. ICLR (Poster) 2018 - [i5]Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le:
Backprop Evolution. CoRR abs/1808.02822 (2018) - [i4]Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans:
iNNvestigate neural networks! CoRR abs/1808.04260 (2018) - 2017
- [c1]Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha:
An Empirical Study on The Properties of Random Bases for Kernel Methods. NIPS 2017: 2763-2774 - [i3]Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne:
PatternNet and PatternLRP - Improving the interpretability of neural networks. CoRR abs/1705.05598 (2017) - [i2]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of saliency methods. CoRR abs/1711.00867 (2017) - 2016
- [i1]Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft:
Distributed Optimization of Multi-Class SVMs. CoRR abs/1611.08480 (2016)
Coauthor Index
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