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Home/Authors/Benjamin F. Grewe

Benjamin F. Grewe

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

ML×2Vision×1AI×1

Frequent co-authors

Nicolas Stalder1×
Matteo Saponati1×
Pau Vilimelis Aceituno1×
Niclas Pokel1×

Research Timeline

2026
Learning Compositional Latent Structure with Vector Networks

The paper introduces the Vector Network (VN), a novel recurrent architecture that replaces fixed weight matrices with reusable weight atoms, enabling superior compositional generalization by making structure a core architectural property.

A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs

The paper proposes combining Gaussian noise and bilateral filtering into a simple preprocessor that achieves supralinear and scalable adversarial robustness in CNNs with significantly reduced computational overhead compared to state-of-the-art methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CVRecentJun 1, 2026

A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs

Nicolas Stalder, Benjamin F. Grewe, Matteo Saponati, Pau Vilimelis Aceituno

The paper proposes combining Gaussian noise and bilateral filtering into a simple preprocessor that achieves supralinear and scalable adversarial robustness in CNNs with significantly reduced computat…

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cs.LGcs.AIRecentMay 27, 2026

Learning Compositional Latent Structure with Vector Networks

Niclas Pokel, Benjamin F. Grewe

The paper introduces the Vector Network (VN), a novel recurrent architecture that replaces fixed weight matrices with reusable weight atoms, enabling superior compositional generalization by making st…

View →