Djork-Arné Clevert

Orcid: 0000-0003-4191-2156

According to our database1, Djork-Arné Clevert authored at least 26 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation.
CoRR, 2023

Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning.
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
Equivariant Graph Attention Networks for Molecular Property Prediction.
CoRR, 2022

Explaining, Evaluating and Enhancing Neural Networks' Learned Representations.
CoRR, 2022

Unsupervised Learning of Group Invariant and Equivariant Representations.
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
Auto-Encoding Molecular Conformations.
CoRR, 2021

Self-supervised feature extraction from image time series in plant phenotyping using triplet networks.
Bioinform., 2021

pKPDB: a protein data bank extension database of pKa and pI theoretical values.
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

Parameterized Hypercomplex Graph Neural Networks for Graph Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Gini in a Bottleneck: Gotta Train Me the Right Way.
CoRR, 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
IVE-GAN: Invariant Encoding Generative Adversarial Networks.
CoRR, 2017

Rectified factor networks for biclustering of omics data.
Bioinform., 2017

2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).
Proceedings of the 4th International Conference on Learning Representations, 2016

2015
Rectified Factor Networks.
CoRR, 2015

Rectified Factor Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2010
FABIA: factor analysis for bicluster acquisition.
Bioinform., 2010

2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.
Bioinform., 2007

2006
A new summarization method for affymetrix probe level data.
Bioinform., 2006


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