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most cited11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

1.5k citations

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68 papers · 1 filter

cs.LG2018★ 42 cited

Improving MMD-GAN Training with Repulsive Loss Function

Wei Wang, Yuan Sun, Saman Halgamuge

Generative adversarial nets (GANs) are widely used to learn the data sampling process and their performance may heavily depend on the loss functions, given a limited computational…

gr-qc2018★ 28 cited

Black hole evaporation and semiclassical thin shell collapse

Valentina Baccetti, Sebastian Murk, Daniel R. Terno

In case of spherical symmetry, the assumptions of finite-time formation of a trapped region and regularity of its boundary --- the apparent horizon --- are sufficient to identify t…

cs.LG2018★ 1 cited

On the Transferability of Representations in Neural Networks Between Datasets and Tasks

Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu

Deep networks, composed of multiple layers of hierarchical distributed representations, tend to learn low-level features in initial layers and transition to high-level features tow…

physics.app-ph2018★ 18 cited

Near-infrared excitation of nitrogen-doped ultrananocrystalline diamond photoelectrodes in saline solution

Andre Chambers, Arman Ahnood, Samira Falahatdoost +6

Nitrogen-doped ultrananocrystalline diamond (N-UNCD) is a promising material for a variety of neural interfacing applications, due to its unique combination of high conductivity, b…

cs.IR2018★ 20 cited

The Potential of Learned Index Structures for Index Compression

Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke

Inverted indexes are vital in providing fast key-word-based search. For every term in the document collection, a list of identifiers of documents in which the term appears is store…

cs.IR2018★ 28 cited

Boosting Search Performance Using Query Variations

Rodger Benham, Joel Mackenzie, Alistair Moffat +1

Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. However, to date fusion has not been regarded as being cost…