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Bertschinger, Daniel
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1

The Complexity of Recognizing Geometric Hypergraphs:

, In: Lecture Notes in Computer Science; Graph Drawing and Network Visualization,
Bertschinger, Daniel ; El Maalouly, Nicolas ; Kleist, Linda.. - p. 163-179 , 2023
Link: https://doi.org/10.1007/..
 
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2

Topological Art in Simple Galleries:

Bertschinger, Daniel ; El Maalouly, Nicolas ; Miltzow, Tillmann..
Discrete & Computational Geometry.  71 (2023)  3 - p. 1092-1130 , 2023
Link: https://doi.org/10.1007/..
 
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3

Lions and contamination: Monotone clearings:

Bertschinger, Daniel ; M. Reddy, Meghana ; Mann, Enrico
Computational Geometry.  110 (2023)  - p. 101961 , 2023
Link: https://doi.org/10.1016/..
 
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4

Tukey Depth Histograms:

, In: Lecture Notes in Computer Science; Combinatorial Algorithms,
Bertschinger, Daniel ; Passweg, Jonas ; Schnider, Patrick - p. 186-198 , 2022
Link: https://doi.org/10.1007/..
 
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5

Lions and contamination: Monotone clearings:

Bertschinger, Daniel ; Reddy, Meghana M ; Mann, Enrico
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.comgeo.2022.101961.  , 2023
Link: https://hdl.handle.net/2..
 
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6

The Complexity of Recognizing Geometric Hypergraphs:

Bertschinger, Daniel ; Maalouly, Nicolas El ; Kleist, Linda..
https://dspace.library.uu.nl/handle/1874/430449.  , 2023
Link: https://dspace.library.u..
 
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7

The Complexity of Recognizing Geometric Hypergraphs:

Bertschinger, Daniel ; Maalouly, Nicolas El ; Kleist, Linda..
http://arxiv.org/abs/2302.13597.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Topological Art in Simple Galleries:

Bertschinger, Daniel ; El Maalouly, Nicolas ; Miltzow, Tillmann...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00454-023-00540-x.  , 2023
Link: https://hdl.handle.net/2..
 
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9

Training Fully Connected Neural Networks is existsR-Complet:

Bertschinger, Daniel ; Hertrich, Christoph ; Jungeblut, Paul..
https://dspace.library.uu.nl/handle/1874/424698.  , 2022
Link: https://dspace.library.u..
 
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10

Well-Separation and Hyperplane Transversals in High Dimensi..:

Bergold, Helena ; Bertschinger, Daniel ; Grelier, Nicolas..
doi:10.4230/LIPIcs.SWAT.2022.16.  , 2022
Link: https://doi.org/10.4230/..
 
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11

Training Fully Connected Neural Networks is $\exists\mathbb..:

Bertschinger, Daniel ; Hertrich, Christoph ; Jungeblut, Paul..
http://arxiv.org/abs/2204.01368.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Lions and Contamination: Monotone Clearings:

Bertschinger, Daniel ; Reddy, Meghana M ; Mann, Enrico
info:eu-repo/semantics/altIdentifier/doi/10.4230/LIPIcs.SWAT.2022.17.  , 2022
Link: https://hdl.handle.net/2..
 
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13

Lions and Contamination: Monotone Clearings:

Bertschinger, Daniel ; M. Reddy, Meghana ; Mann, Enrico
doi:10.4230/LIPIcs.SWAT.2022.17.  , 2022
Link: https://doi.org/10.4230/..
 
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14

Well-Separation and Hyperplane Transversals in High Dimensi..:

Bergold, Helena ; Bertschinger, Daniel ; Grelier, Nicolas..
info:eu-repo/semantics/altIdentifier/doi/10.4230/LIPIcs.SWAT.2022.16.  , 2022
Link: https://hdl.handle.net/2..
 
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15

Well-Separation and Hyperplane Transversals in High Dimensi..:

Bergold, Helena ; Bertschinger, Daniel ; Grelier, Nicolas..
http://arxiv.org/abs/2209.02319.  , 2022
Link: http://arxiv.org/abs/220..
 
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