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Axel Flinth

Ensembles provably learn equivariance through data augmentation

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Oct 02, 2024
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Optimization Dynamics of Equivariant and Augmented Neural Networks

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Mar 23, 2023
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In Search of Projectively Equivariant Neural Networks

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Sep 29, 2022
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One-Shot Messaging at Any Load Through Random Sub-Channeling in OFDM

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Sep 22, 2022
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Rigidity Preserving Image Transformations and Equivariance in Perspective

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Jan 31, 2022
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ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds

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Nov 30, 2021
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Measure Concentration on the OFDM-based Random Access Channel

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May 21, 2021
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Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access

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May 07, 2021
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Hierarchical compressed sensing

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Apr 06, 2021
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