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Papers matching “neural network training” 243

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Robustness Distributions in Neural Network Verification
2025 Journal of Artificial Intelligence Research article Computer Science Adversarial Robustness in Machine Learning Open access

Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn

1

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

8

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

0

citations
Neural network input feature selection using structured l2 − norm penalization
2022 Applied Intelligence article Computer Science Neural Networks and Applications Open access

Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert

7

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Neural Networks and Applications Open access

0

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
CTRAIN - A Training Library for Certifiably Robust Neural Networks (Extended Abstract)
2025 Lecture notes in computer science conference-paper Computer Science Adversarial Robustness in Machine Learning

Konstantin Kaulen, Holger H. Hoos

0

citations
Efficient Training of Neural Transducer for Speech Recognition
2022 Interspeech 2022 conference-paper Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney

15

citations
Investigations on neural networks, discriminative training criteria and error bounds
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Neural Networks and Applications Open access

Markus Nußbaum-Thom

0

citations
End-to-End Training of a Neural HMM with Label and Transition Probabilities
2023 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney

0

citations
2 Parallel Heart: Parallel Experiments of a Highly Accurate Dual Independent Neural Network for Predicting Myocardial Infarction in Service of Clinical Practice
2026 IEEE Transactions on Biomedical Engineering article Computer Science Neural Networks and Applications

Zijun Zhang, Zhewei Chen, Xingyu Zhou, Siyang Zhong, Xinbo Qu, Siming Li, +5 more

0

citations
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

0

citations
On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Wei Guo Zhou, Ralf Schlüter, Hermann Ney

0

citations
On the Relation Between Internal Language Model and Sequence Discriminative Training for Neural Transducers
2024 conference-paper Computer Science Speech Recognition and Synthesis

Zijian Győző Yang, Wei Guo Zhou, Ralf Schlüter, Hermann Ney

0

citations
Reversible training of waveguide-based AND/OR gates for optically driven artificial neural networks using photochromic molecules
2021 Journal of Physics D Applied Physics article Computer Science Neural Networks and Reservoir Computing Open access

Seon‐Young Rhim, Giovanni Ligorio, Felix Hermerschmidt, Michael Pätzel, Martin Herder, Stefan Hecht, +1 more

7

citations
On the Interpretability of Neural Network Decoders
2025 Advanced Quantum Technologies article Computer Science Adversarial Robustness in Machine Learning Open access

Lukas Bödeker, Luc J. B. Kusters, Markus Michael Müller

0

citations
A New Training Pipeline for an Improved Neural Transducer
2020 conference-paper Computer Science Natural Language Processing Techniques Open access

Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney

42

citations
Potential of Hybrid Neural Network Local Path Planner for small UAV in Urban Environments
2023 AIAA SciTech Forum conference-paper Computer Science Robotic Path Planning Algorithms

Andreas Thoma, Luc Stiemer, Carsten Braun, Alex Fisher, Alessandro Gardi

2

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

4

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2021 IEEE Access article Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

32

citations
Training and control performance evaluation of NARMA-L2 neural controller by simulation model of a test bench
2024 conference-abstract Computer Science Neural Networks and Applications

Jinyan Li, Christian Stefan Haas, Faras Brumand‐Poor

0

citations
Rethinking Evaluation Paradigms in IBP-based Certified Training
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Konstantin Kaulen, Hadar Shavit, Holger H. Hoos

0

citations
End-To-End Training of a Neural HMM with Label and Transition Probabilities
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney

4

citations
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Wireless Signal Modulation Classification Open access

Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more

0

citations
Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network
2022 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference-paper Computer Science Wireless Signal Modulation Classification

Biao Dong, Guozhen Xu, Xue Gang Fu, Heng Dong, Guan Gui, Haris Gacanin, +1 more

6

citations