<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Selected Publications | David W. Romero</title><link>https://davidwromero.xyz/publication/</link><atom:link href="https://davidwromero.xyz/publication/index.xml" rel="self" type="application/rss+xml"/><description>Selected Publications</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><image><url>https://davidwromero.xyz/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png</url><title>Selected Publications</title><link>https://davidwromero.xyz/publication/</link></image><item><title>Towards a General Purpose CNN for Long Range Dependencies in $N$D</title><link>https://davidwromero.xyz/publication/ccnn/</link><pubDate>Tue, 07 Jun 2022 18:05:15 +0100</pubDate><guid>https://davidwromero.xyz/publication/ccnn/</guid><description/></item><item><title>Learning Partial Equivariances From Data</title><link>https://davidwromero.xyz/publication/partial_gconv/</link><pubDate>Mon, 07 Mar 2022 18:05:15 +0100</pubDate><guid>https://davidwromero.xyz/publication/partial_gconv/</guid><description/></item><item><title>FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes</title><link>https://davidwromero.xyz/publication/flexconv/</link><pubDate>Mon, 07 Feb 2022 18:05:15 +0100</pubDate><guid>https://davidwromero.xyz/publication/flexconv/</guid><description/></item><item><title>CKConv: Continuous Kernel Convolution For Sequential Data</title><link>https://davidwromero.xyz/publication/ckconv/</link><pubDate>Sun, 07 Feb 2021 18:05:15 +0100</pubDate><guid>https://davidwromero.xyz/publication/ckconv/</guid><description/></item><item><title>Group Equivariant Stand-Alone Self-Attention For Vision</title><link>https://davidwromero.xyz/publication/g_selfatt/</link><pubDate>Fri, 02 Oct 2020 12:57:21 +0200</pubDate><guid>https://davidwromero.xyz/publication/g_selfatt/</guid><description/></item><item><title>Wavelet Networks: Scale Equivariant Learning From Raw Waveforms</title><link>https://davidwromero.xyz/publication/wavelet_networks/</link><pubDate>Thu, 11 Jun 2020 10:03:11 +0200</pubDate><guid>https://davidwromero.xyz/publication/wavelet_networks/</guid><description/></item><item><title>Attentive Group Equivariant Convolutional Networks</title><link>https://davidwromero.xyz/publication/att_gconvs/</link><pubDate>Fri, 07 Feb 2020 13:48:09 +0200</pubDate><guid>https://davidwromero.xyz/publication/att_gconvs/</guid><description/></item><item><title>Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data</title><link>https://davidwromero.xyz/publication/co_attentive_nets/</link><pubDate>Mon, 18 Nov 2019 13:29:35 +0200</pubDate><guid>https://davidwromero.xyz/publication/co_attentive_nets/</guid><description/></item></channel></rss>