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Papers matching “PyTorch” 30

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Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi

9

citations
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers
2024 IEEE Microwave and Wireless Technology Letters article Engineering Advanced Power Amplifier Design Open access

Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, +2 more

38

citations
Analysis of Criteria for the Selection of Machine Learning Frameworks
2020 2012 International Conference on Computing, Networking and Communications (ICNC) conference-paper Computer Science Advanced Neural Network Applications

Kai Dinghofer, Frank H. Hartung

15

citations
Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review
2023 International Conference on Neuromorphic Systems (ICONS) conference-paper Engineering Advanced Memory and Neural Computing Open access

Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci

6

citations
Differentiable Geomodeling: towards a tighter implementation of structural geological models into geophysical inverse frameworks
2024 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel de la Varga, Zhouji Liang

1

citations
b-hive: a modern start-to-finish flavor tagging framework
2025 Large Hadron Collider Physics Conference (LHCP) conference-paper Physics and Astronomy Particle physics theoretical and experimental studies Open access

0

citations
Trained deep neural networks for MSI/dMMR detection in colorectal cancer histology
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science AI in cancer detection Open access

Jakob Nikolas Kather, Narmin Ghaffari Laleh

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
Synthetic Simulated Environment for Discrete Manufacturing Systems: A Demonstrator Through a Computational Modeling Approach
2024 Winter Simulation Conference conference-paper Computer Science Petri Nets in System Modeling

Silvan Marti, Paulo Victor Lopes, Siyuan Chen, Mohan Rajashekarappa, Elham Rekabi Bana, Amon Göppert, +3 more

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
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
Trained deep neural networks for MSI/dMMR detection in colorectal cancer histology
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science AI in cancer detection Open access

Jakob Nikolas Kather, Narmin Ghaffari Laleh

0

citations
coffea
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Computational Physics and Python Applications Open access

L. Gray, Nicholas Smith, Andrzej Novak, P. Fackeldey, Benjamín Tovar, Y. M. Chen, +2 more

0

citations
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
2020 arXiv (Cornell University) software-paper Computer Science Topological and Geometric Data Analysis Open access

Nina Miolane, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, +12 more

95

citations
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) conference-paper Engineering Autonomous Vehicle Technology and Safety

Dan Ping Jia, Alexander Hermans, Bastian Leibe

49

citations
All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency
2022 Proceedings of ESSCIRC conference-paper Engineering Advanced Memory and Neural Computing

Jie Lou, Christian Lanius, Florian Freye, Tim Stadtmann, Tobias Gemmeke

19

citations
MACE: A Machine-learning Approach to Chemistry Emulation
2024 The Astrophysical Journal article Physics and Astronomy Model Reduction and Neural Networks Open access

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

12

citations
SNNAX - Spiking Neural Networks in JAX
2024 International Conference on Neuromorphic Systems (ICONS) conference-paper Engineering Advanced Memory and Neural Computing

Jamie Lohoff, Jan Finkbeiner, Emre Neftci

4

citations
Faster Convergence for Transformer Fine-tuning with Line Search Methods
2023 conference-paper Computer Science Stochastic Gradient Optimization Techniques Open access

Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer

2

citations
ROS2WASM: Bringing the Robot Operating System to the Web
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Engineering Robotics and Automated Systems Open access

Tobias Fischer, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro, Wolf Vollprecht, +1 more

1

citations
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC
2023 MIPRO ICT and Electronics Convention (MIPRO) conference-paper Computer Science Machine Learning and Data Classification

Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, +2 more

1

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
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 PLoS ONE article Computer Science Advanced Neural Network Applications Open access

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

0

citations