Richard Freinschlag

pLSTM: parallelizable Linear Source Transition Mark networks
Pöppel, K., Freinschlag, R., Schmied, T., Lin, W. & Hochreiter, S., 13 Jun 2025, 24 p. (arXiv.org; no. 2506.11997).
Research output: Working paper and reports › Preprint

Open Access
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Schneckenreiter, L., Freinschlag, R., Sestak, F., Brandstetter, J., Klambauer, G. & Mayr, A., Mar 2024, International Conference On Learning Representations (ICLR 2024). 13 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
The relevance of Biases for modern Convolutional Neural Networks and introducing a novel approach to Normalization
Freinschlag, R., Aug 2023, 53 p.
Research output: Thesis › Master's / Diploma thesis

Cluster of Excellence "Bilateral Artificial Intelligence"
Fürnkranz, J. (PI), Hochreiter, S. (PI), Klambauer, G. (PI), Schedl, M. (PI), Seidl, M. (PI), Widmer, G. (PI), Brandstetter, J. (PI), Kobler, E. (PI), Aichernig, B. (PI), Heisinger, M. (Researcher), Hoedt, P.-J. (Researcher), Pfeiffer, P. (Researcher), Plank, A. (Researcher), Radler, A. (Researcher), Rebola Pardo, A. (Researcher), Lin, W. (Researcher), Eckert, H. (Researcher), Cranganore, S. S. (Researcher), Hartl, A.-R. (Researcher), Plasser, M. (Researcher), Pammer, T. (Researcher), Tommasel, A. (Researcher), Nawaz, S. (Researcher), Masoudian, S. (Researcher) & Freinschlag, R. (Researcher)
01.10.2024 → 30.09.2029
Project: Funded research › FWF - Austrian Science Fund

Research output