From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “PyTorch” 8

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs (Python code)
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Wolfgang Dahmen, Chenguang Duan, Mathias Oster

0

citations
TorchRTM: A high-performance vegetation RTM package for deep learning integration
2026 preprint Environmental Science Remote Sensing in Agriculture Open access

Peng Sun, Peter M. van Bodegom, Marco D. Visser

0

citations
Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs (Python code)
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Wolfgang Dahmen, Chenguang Duan, Mathias Oster

0

citations
SNNAX -- Spiking Neural Networks in JAX
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jamie Lohoff, Jan Finkbeiner, Emre Neftci

0

citations
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Ping Jia, Alexander Hermans, Bastian Leibe

0

citations
Data-centric AI approach for automated wildflower monitoring
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Advanced Neural Network Applications Open access

Gerard Schouten, Bas S.H.T. Michielsen, Barbara Gravendeel

0

citations
Artifacts from the study "Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype"
2026 arXiv (Cornell University) preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access

Jan-Philipp Redlich, Friedrich Feuerhake, Stefan Nikolin, Nadine S. Schaadt, Sarah Teuber‐Hanselmann, J Weis, +9 more

0

citations
MACE: A Machine learning Approach to Chemistry Emulation
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Silke Maes, F. De Ceuster, Marie Van de Sande, L. Decin

0

citations

8 results