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ORCIDDjork-Arné Clevert
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2020 – today
- 2023
[i11]Marco Bertolini, Van-Khoa Le, Jake Pencharz, Andreas Poehlmann, Djork-Arné Clevert, Santiago Villalba, Floriane Montanari:
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology. CoRR abs/2302.01653 (2023)- 2022
- [c7]Tuan Le, Frank Noé, Djork-Arné Clevert:
Representation Learning on Biomolecular Structures Using Equivariant Graph Attention. LoG 2022: 30 - [c6]Robin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert:
Unsupervised Learning of Group Invariant and Equivariant Representations. NeurIPS 2022 - [i10]Robin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert:
Unsupervised Learning of Group Invariant and Equivariant Representations. CoRR abs/2202.07559 (2022) - [i9]Marco Bertolini, Djork-Arné Clevert, Floriane Montanari:
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations. CoRR abs/2202.09374 (2022) - [i8]Tuan Le, Frank Noé, Djork-Arné Clevert:
Equivariant Graph Attention Networks for Molecular Property Prediction. CoRR abs/2202.09891 (2022) - 2021
- [j9]Paula A. Marin Zapata
, Sina Roth, Dirk Schmutzler, Thomas Wolf, Erica Manesso, Djork-Arné Clevert:
Self-supervised feature extraction from image time series in plant phenotyping using triplet networks. Bioinform. 37(6): 861-867 (2021) - [j8]Pedro B. P. S. Reis, Djork-Arné Clevert, Miguel Machuqueiro:
pKPDB: a protein data bank extension database of pKa and pI theoretical values. Bioinform. 38(1): 297-298 (2021) - [c5]Tuan Le, Marco Bertolini, Frank Noé, Djork-Arné Clevert:
Parameterized Hypercomplex Graph Neural Networks for Graph Classification. ICANN (3) 2021: 204-216 - [c4]Ryan Henderson, Djork-Arné Clevert, Floriane Montanari:
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity. ICML 2021: 4203-4213 - [c3]Robin Winter, Frank Noé, Djork-Arné Clevert:
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning. NeurIPS 2021: 9559-9573 - [i7]Robin Winter, Frank Noé, Djork-Arné Clevert:
Auto-Encoding Molecular Conformations. CoRR abs/2101.01618 (2021) - [i6]Tuan Le, Marco Bertolini, Frank Noé, Djork-Arné Clevert:
Parameterized Hypercomplex Graph Neural Networks for Graph Classification. CoRR abs/2103.16584 (2021) - [i5]Robin Winter, Frank Noé, Djork-Arné Clevert:
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning. CoRR abs/2104.09856 (2021) - [i4]Ryan Henderson, Djork-Arné Clevert, Floriane Montanari:
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity. CoRR abs/2105.04854 (2021) - 2020
- [j7]Robin Winter, Joren Retel, Frank Noé, Djork-Arné Clevert, Andreas Steffen:
grünifai: interactive multiparameter optimization of molecules in a continuous vector space. Bioinform. 36(13): 4093-4094 (2020) - [i3]Ryan Henderson, Djork-Arné Clevert, Floriane Montanari:
Gini in a Bottleneck: Gotta Train Me the Right Way. CoRR abs/2010.04535 (2020)
2010 – 2019
- 2019
- [j6]Moritz Schaefer, Djork-Arné Clevert, Bertram Weiss, Andreas Steffen:
PAVOOC: designing CRISPR sgRNAs using 3D protein structures and functional domain annotations. Bioinform. 35(13): 2309-2310 (2019) - [j5]Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer:
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. J. Chem. Inf. Model. 59(3): 1163-1171 (2019) - 2017
- [j4]Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter:
Rectified factor networks for biclustering of omics data. Bioinform. 33(14): i59-i66 (2017) - [i2]Robin Winter, Djork-Arné Clevert:
IVE-GAN: Invariant Encoding Generative Adversarial Networks. CoRR abs/1711.08646 (2017) - 2016
- [c2]Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter:
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). ICLR (Poster) 2016 - 2015
- [c1]Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter:
Rectified Factor Networks. NIPS 2015: 1855-1863 - [i1]Djork-Arné Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter:
Rectified Factor Networks. CoRR abs/1502.06464 (2015) - 2010
- [j3]Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich W. H. Göhlmann, Ziv Shkedy, Djork-Arné Clevert:
FABIA: factor analysis for bicluster acquisition. Bioinform. 26(12): 1520-1527 (2010)
2000 – 2009
- 2007
- [j2]Willem Talloen, Djork-Arné Clevert, Sepp Hochreiter, Dhammika Amaratunga, Luc Bijnens, Stefan Kass, Hinrich W. H. Göhlmann:
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data. Bioinform. 23(21): 2897-2902 (2007) - 2006
- [j1]Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer:
A new summarization method for affymetrix probe level data. Bioinform. 22(8): 943-949 (2006)
Coauthor Index
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