Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

Philip Neil Garner, Afsaneh Asaei
2016
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Philip Neil Garner, Afsaneh Asaei
2016
Journal Articles

Source officielle

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https://infoscience.epfl.ch/entities/publication/4467a5b0-df5c-4138-bc54-cf7bc3f17e55

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A search is presented for the pair production of new heavy resonances, each decaying into a top quark (t) or antiquark and a gluon (g). The analysis uses data recorded with the CMS detector from proton-proton collisions at a center-of-mass energy of 13 TeV ...

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Learning to Reason with Neural Networks: Principles and Methods

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This thesis focuses on understanding and improving the reasoning capabilities of neural networks. It develops theoretical results and empirical analyses to uncover reasoning potential and limitations, leveraging these insights to guide the design of improv ...

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Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations

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Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. However, efficiently integrating lattice symmetries into neural representations remains a significant challenge. In th ...

NATURE PORTFOLIO2025