activity
20202024
most citedFew-bit Quantization of Neural Networks for Nonlinearity Mitigation in a Fiber Transmission Experiment

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection

Yinting Wu, Pai Peng, Bo Cai +2

Adversarial training methods commonly generate independent initial perturbation for adversarial samples from a simple uniform distribution, and obtain the training batch for the cl…

astro-ph.GA2024

Radio imaging of gravitationally lensed radio-quiet quasars

Neal Jackson, Shruti Badole, Thomas Dugdale +4

We present 6-GHz Very Large Array radio images of 70 gravitational lens systems at 300-mas resolution, in which the source is an optically-selected quasar, and nearly all of which…

astro-ph.GA2024

Structure, kinematics and time evolution of the Galactic Warp from Classical Cepheids

Mauro Cabrera-Gadea, Cecilia Mateu, Pau Ramos +11

The warp is a well-known undulation of the Milky Way disc. Its structure has been widely studied, but only since Gaia DR2 has it been possible to reveal its kinematic signature bey…

eess.SP2022★ 2 cited

Few-bit Quantization of Neural Networks for Nonlinearity Mitigation in a Fiber Transmission Experiment

Jamal Darweesh, Nelson Costa, Antonio Napoli +4

A neural network is quantized for the mitigation of nonlinear and components distortions in a 16-QAM 9x50km dual-polarization fiber transmission experiment. Post-training additive…

cs.CV2020

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties

Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris +8

Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pi…