Maximilian Alber

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Venues

CoRR

NIPS

J. Mach. Learn. Res.

ICLR (Poster)

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

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 (2024)
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 (2024)
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 (2023)
Stephanie Brandl, David Lassner, Maximilian Alber
Balancing the composition of word embeddings across heterogenous data sets. CoRR (2020)
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 (2019)
Maximilian Alber
Software and application patterns for explanation methods. CoRR (2019)
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 (2019)
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)
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)
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 (2018)
Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le
Backprop Evolution. CoRR (2018)
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)
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
PatternNet and PatternLRP - Improving the interpretability of neural networks. CoRR (2017)
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 (2017)
Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft
Distributed Optimization of Multi-Class SVMs. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maximilian Alber