Andreas Mayr

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification.
J. Cheminformatics, December, 2026

Symbol-Equivariant Recurrent Reasoning Models.
CoRR, March, 2026

2025
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities.
CoRR, February, 2025

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability.
Autom., September, 2024

VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification.
CoRR, 2024

Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Boundary Graph Neural Networks for 3D Simulations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
PoRi device: portable hand assessment and rehabilitation after stroke.
Autom., 2022

2021
In-situ identification of material batches using machine learning for machining operations.
J. Intell. Manuf., 2021

Learning 3D Granular Flow Simulations.
CoRR, 2021

2020
Industry-scale application and evaluation of deep learning for drug target prediction.
J. Cheminformatics, 2020

Cross-Domain Few-Shot Learning by Representation Fusion.
CoRR, 2020

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.
CoRR, 2020

ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models.
J. Chem. Inf. Model., 2019

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living.
Proceedings of the How AI Impacts Urban Living and Public Health, 2019

2017
Self-Normalizing Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Toxicity Prediction using Deep Learning.
CoRR, 2015

Rectified Factor Networks.
CoRR, 2015

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.
Bioinform., 2015

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

2014
Furby: fuzzy force-directed bicluster visualization.
BMC Bioinform., 2014

2011
Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

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


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