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David W. Romero proslijedio/la je Tweet
Learning Discrete Distributions by Dequantization. http://arxiv.org/abs/2001.11235 pic.twitter.com/ph98xmDp3w
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David W. Romero proslijedio/la je Tweet
Quaternions and Euler angles are discontinuous and difficult for neural networks to learn. They show 3D rotations have continuous representations in 5D and 6D, which are more suitable for learning. i.e. regress two vectors and apply Graham-Schmidt (GS). https://arxiv.org/abs/1812.07035 pic.twitter.com/fXUF3sgkTT
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David W. Romero proslijedio/la je Tweet
PDE-based Group Equivariant Convolutional Neural Networks. (arXiv:2001.09046v1 [cs.LG]) https://ift.tt/2RssiVK
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David W. Romero proslijedio/la je Tweet
I am thrilled to announce our paper “Feedback Recurrent AutoEncoder” was accepted at
#ICASSP2020! collaboration with Yang Yang,@TacoCohen and Jon Ryu. https://arxiv.org/abs/1911.04018 . A quick thread.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David W. Romero proslijedio/la je Tweet
Short but sweet paper on recurrent autoencoder architectures for speech compression. We systematically explore the space of RNN-AEs and show that the best method, dubbed FRAE, outperforms classical codecs by a large margin. Check it out! https://twitter.com/gsautiere/status/1221502307982094337 …pic.twitter.com/43A7bkWnAc
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David W. Romero proslijedio/la je Tweet
We are organizing an
@ELLISforEurope Workshop on Geometric and Relational Deep Learning! Registration invites will be shared soon. Interested in participating? Consider submitting an abstract or get in touch: https://geometric-relational-dl.github.io/ w/@erikjbekkers@wellingmax@mmbronsteinpic.twitter.com/RGEHezfZIa
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David W. Romero proslijedio/la je Tweet
Quanta Magazine covers Geometric DL & G-CNNs. For technical details, check out some of the original papers mentioned in the article: https://arxiv.org/abs/1902.04615 https://arxiv.org/abs/1804.04656 https://arxiv.org/abs/1802.03690 https://arxiv.org/abs/1801.10130 https://arxiv.org/abs/1611.08097 https://arxiv.org/abs/1501.06297 https://twitter.com/wellingmax/status/1215348614937137159 …
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David W. Romero proslijedio/la je Tweet
#ICYMI this very popular podcast, hear from our very own@wellingmax talking about@Qualcomm#AI Research and a wide range of machine learning topics. Thanks@samcharrington.https://twitter.com/samcharrington/status/1214591204232441858 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David W. Romero proslijedio/la je Tweet
Our work on Gauge Equivariant CNNs made it into Quanta Magazine! The article gives a nice overview on coordinate independent convolutions and connections between theoretical physics and deep learning.https://twitter.com/wellingmax/status/1215348614937137159 …
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David W. Romero proslijedio/la je Tweet
Full or associate prof position available in ML at AMLAB: https://www.uva.nl/shared-content/uva/en/vacancies/2019/12/19-893-chair-in-machine-learning-full-or-associate-professor.html?origin=IDU2lUJuTL6pmHQa%2FNN%2B4g …
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David W. Romero proslijedio/la je Tweet
Vacancy for machine learning
#professor in#Amsterdam, join the most thriving#AI ecosystem in the Netherlands. https://www.uva.nl/shared-content/uva/en/vacancies/2019/12/19-893-chair-in-machine-learning-full-or-associate-professor.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David W. Romero proslijedio/la je Tweet
What better way to start a new year than by applying for a great tenure track position in a great city (Amsterdam) in a great team: AI systems that collaborate with people instead of replacing them: https://workingat.vu.nl/ad/assistant-professor-tenure-track-hybrid-intelligence/5neg8m … (closes in 3 days).
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David W. Romero proslijedio/la je Tweet
Check out "Scale-Equivariant Steerable Networks" (https://arxiv.org/abs/1910.11093 ). It is joint work with Michał Szmaja and Arnold Smeulders. We build scale-equivariant CNNs which do not use image rescaling and do not limit the admissible scale factors.pic.twitter.com/3SjIrbmykq
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David W. Romero proslijedio/la je Tweet
Really happy with my paper being accepted
@iclr_conf#ICRL! It describes a flexible framework for building G-CNNs that are equivariant to a large class of transformation groups. B-Spline CNNs on Lie groups: https://openreview.net/forum?id=H1gBhkBFDH …pic.twitter.com/AYc0QsfAzM
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Really exciting to have my first paper accepted at
@iclr_conf#ICLR2020! It provides the first group theoretical approach towards equivariant visual attention. Nice things coming up next!@erikjbekkers@jmtomczak@Mark. Co-Attentive Equivariant Nets: https://openreview.net/forum?id=r1g6ogrtDr …pic.twitter.com/jppwAD8NJy
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