Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a ...

For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the system ...

The procedure for cleaning weak inequalities in the Fourier-Chernikov algorithm for convolution of a system of linear inequalities is considered. An algorithm for identifying all weak inequalities of ...

This example shows how to use PROC LP to solve a linear goal-programming problem. PROC LP has the ability to solve a series of linear programs, each with a new objective function. These objective ...

We study the function space characterization of the inductive bias resulting from controlling the norm of the weights in linear convolutional networks. We view this in terms of an induced regularizer ...

Thus, in this paper, we present a new Monte Carlo simulation method enhanced by a convolutional neural network. The sample-set used for this Monte Carlo approach is provided by artificially generating ...

This repository contains the source code for my paper "LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion," accepted at IROS2024.