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CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Quantum generative modeling for financial time series with temporal correlations2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access
David Dechant, Eliot Jan Etienne Schwander, Lucas Van Drooge, Charles Moussa, Diego Garlaschelli, Vedran Dunjko, +1 more
3citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
0citations -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations
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