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Roith, Tim
16  Ergebnisse:
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1

Polarized consensus-based dynamics for optimization and sam..:

Bungert, Leon ; Roith, Tim ; Wacker, Philipp
Mathematical Programming.  , 2024
Link: https://doi.org/10.1007/..
 
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2

CBX: Python and Julia Packages for Consensus-BasedInteracti..:

Bailo, Rafael ; Barbaro, Alethea ; Gomes, Susana N....
Journal of Open Source Software.  9 (2024)  98 - p. 6611 , 2024
Link: https://doi.org/10.21105..
 
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3

Resolution-Invariant Image Classification Based on Fourier ..:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Kabri, Samira ; Roith, Tim ; Tenbrinck, Daniel. - p. 236-249 , 2023
Link: https://doi.org/10.1007/..
 
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4

Continuum Limit of Lipschitz Learning on Graphs:

Roith, Tim ; Bungert, Leon
Foundations of Computational Mathematics.  23 (2022)  2 - p. 393-431 , 2022
Link: https://doi.org/10.1007/..
 
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5

Uniform convergence rates for Lipschitz learning on graphs:

Bungert, Leon ; Calder, Jeff ; Roith, Tim
IMA Journal of Numerical Analysis.  43 (2022)  4 - p. 2445-2495 , 2022
Link: https://doi.org/10.1093/..
 
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6

CLIP: Cheap Lipschitz Training of Neural Networks:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Bungert, Leon ; Raab, René ; Roith, Tim.. - p. 307-319 , 2021
Link: https://doi.org/10.1007/..
 
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7

Resolution-Invariant Image Classification based on Fourier ..:

Kabri, Samira ; Roith, Tim ; Tenbrinck, Daniel.
http://arxiv.org/abs/2304.01227.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Learning a Sparse Representation of Barron Functions with t..:

Heeringa, Tjeerd Jan ; Roith, Tim ; Brune, Christoph.
http://arxiv.org/abs/2312.02671.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

Ratio convergence rates for Euclidean first-passage percola..:

Bungert, Leon ; Calder, Jeff ; Roith, Tim
http://arxiv.org/abs/2210.09023.  , 2022
Link: http://arxiv.org/abs/221..
 
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10

Polarized consensus-based dynamics for optimization and sam..:

Bungert, Leon ; Roith, Tim ; Wacker, Philipp
http://arxiv.org/abs/2211.05238.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

A Bregman Learning Framework for Sparse Neural Networks:

Bungert, Leon ; Roith, Tim ; Tenbrinck, Daniel.
http://arxiv.org/abs/2105.04319.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

CLIP: Cheap Lipschitz Training of Neural Networks:

Bungert, Leon ; Raab, René ; Roith, Tim..
http://arxiv.org/abs/2103.12531.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Uniform Convergence Rates for Lipschitz Learning on Graphs:

Bungert, Leon ; Calder, Jeff ; Roith, Tim
http://arxiv.org/abs/2111.12370.  , 2021
Link: http://arxiv.org/abs/211..
 
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14

Neural Architecture Search via Bregman Iterations:

Bungert, Leon ; Roith, Tim ; Tenbrinck, Daniel.
http://arxiv.org/abs/2106.02479.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Continuum Limit of Lipschitz Learning on Graphs:

Roith, Tim ; Bungert, Leon
http://arxiv.org/abs/2012.03772.  , 2020
Link: http://arxiv.org/abs/201..
 
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