Djork-Arné Clevert
Orcid: 0000-0003-4191-2156
According to our database1,
Djork-Arné Clevert
authored at least 26 papers
between 2006 and 2023.
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Bibliography
2023
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation.
CoRR, 2023
CoRR, 2023
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology.
CoRR, 2023
Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Representation Learning on Biomolecular Structures Using Equivariant Graph Attention.
Proceedings of the Learning on Graphs Conference, 2022
2021
Self-supervised feature extraction from image time series in plant phenotyping using triplet networks.
Bioinform., 2021
Bioinform., 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
grünifai: interactive multiparameter optimization of molecules in a continuous vector space.
Bioinform., 2020
2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.
J. Chem. Inf. Model., 2019
PAVOOC: designing CRISPR sgRNAs using 3D protein structures and functional domain annotations.
Bioinform., 2019
2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2010
2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.
Bioinform., 2007
2006