
Deep Permutation Equivariant Structure from Motion
Existing deep methods produce highly accurate 3D reconstructions in ster...
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PositionAgnostic MultiMicrophone Speech Dereverberation
Neural networks (NNs) have been widely applied in speech processing task...
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On Size Generalization in Graph Neural Networks
Graph neural networks (GNNs) can process graphs of different sizes but t...
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How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
We consider the problem of monitoring and controlling a partiallyobserv...
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On the Universality of Rotation Equivariant Point Cloud Networks
Learning functions on point clouds has applications in many fields, incl...
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SelfSupervised Learning for Domain Adaptation on PointClouds
Selfsupervised learning (SSL) allows to learn useful representations fr...
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Learning Algebraic Multigrid Using Graph Neural Networks
Efficient numerical solvers for sparse linear systems are crucial in sci...
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Set2Graph: Learning Graphs From Sets
Many problems in machine learning (ML) can be cast as learning functions...
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On Learning Sets of Symmetric Elements
Learning from unordered sets is a fundamental learning setup, which is a...
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Controlling Neural Level Sets
The level sets of neural networks represent fundamental properties such ...
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Provably Powerful Graph Networks
Recently, the WeisfeilerLehman (WL) graph isomorphism test was used to ...
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On the Universality of Invariant Networks
Constraining linear layers in neural networks to respect symmetry transf...
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Surface Networks via General Covers
Developing deep learning techniques for geometric data is an active and ...
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Invariant and Equivariant Graph Networks
Invariant and equivariant networks have been successfully used for learn...
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Multichart Generative Surface Modeling
This paper introduces a 3D shape generative model based on deep neural n...
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Point Convolutional Neural Networks by Extension Operators
This paper presents Point Convolutional Neural Networks (PCNN): a novel ...
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DS++: A flexible, scalable and provably tight relaxation for matching problems
Correspondence problems are often modelled as quadratic optimization pro...
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Haggai Maron
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