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06/27/2023
Visualization of AI Systems in Virtual Reality: A Comprehensive Review
This study provides a comprehensive review of the utilization of Virtual...
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02/17/2022
Gradients without Backpropagation
Using backpropagation to compute gradients of objective functions for op...
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10/30/2021
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE
Recent work in deep learning focuses on solving physical systems in the ...
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10/30/2021
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint
This work proposes a Neural Network model that can control its depth usi...
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10/30/2021
ECG synthesis with Neural ODE and GAN models
Continuous medical time series data such as ECG is one of the most compl...
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05/13/2021
HeunNet: Extending ResNet using Heun's Methods
There is an analogy between the ResNet (Residual Network) architecture f...
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05/20/2020
Neural Ordinary Differential Equation based Recurrent Neural Network Model
Neural differential equations are a promising new member in the neural n...
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05/20/2020
Neural ODEs for Informative Missingness in Multivariate Time Series
Informative missingness is unavoidable in the digital processing of cont...
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11/08/2019
Lock-Free Hopscotch Hashing
In this paper we present a lock-free version of Hopscotch Hashing. Hopsc...
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08/22/2017
Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation
Classical reverse-mode automatic differentiation (AD) imposes only a sma...
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11/10/2016
Tricks from Deep Learning
The deep learning community has devised a diverse set of methods to make...
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11/10/2016
DiffSharp: An AD Library for .NET Languages
DiffSharp is an algorithmic differentiation or automatic differentiation...
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11/10/2016
Efficient Implementation of a Higher-Order Language with Built-In AD
We show that Automatic Differentiation (AD) operators can be provided in...
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11/10/2016
Binomial Checkpointing for Arbitrary Programs with No User Annotation
Heretofore, automatic checkpointing at procedure-call boundaries, to red...
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11/24/2015
DiffSharp: Automatic Differentiation Library
In this paper we introduce DiffSharp, an automatic differentiation (AD) ...
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04/28/2014
