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L3C-Stereo: Lossless Compression for Stereo Images
Zihao Huang, Zhe Sun, Feng Duan +3
A large number of autonomous driving tasks need high-definition stereo images, which requires a large amount of storage space. Efficiently executing lossless compression has become…
Meta-Solver for Neural Ordinary Differential Equations
Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev +2
A conventional approach to train neural ordinary differential equations (ODEs) is to fix an ODE solver and then learn the neural network's weights to optimize a target loss functio…
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
M. Nazareth da Costa, R. Attux, A. Cichocki +1
In this work, we firstly apply the Train-Tensor (TT) networks to construct a compact representation of the classical Multilayer Perceptron, representing a reduction of up to 95% of…