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Rapin, Jeremy
109  Ergebnisse:
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1

Optimizing With Low Budgets: A Comparison On the Black-Box ..:

Raponi, Elena ; Rakotonirina, Nathanaël Carraz ; Rapin, Jérémy..
IEEE Transactions on Evolutionary Computation.  , 2023
Link: https://doi.org/10.1109/..
 
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2

Decoding speech perception from non-invasive brain recordin..:

Défossez, Alexandre ; Caucheteux, Charlotte ; Rapin, Jérémy..
Nature Machine Intelligence.  5 (2023)  10 - p. 1097-1107 , 2023
Link: https://doi.org/10.1038/..
 
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3

Black-Box Optimization Revisited: Improving Algorithm Selec..:

Meunier, Laurent ; Rakotoarison, Herilalaina ; Wong, Pak Kan...
IEEE Transactions on Evolutionary Computation.  26 (2022)  3 - p. 490-500 , 2022
Link: https://doi.org/10.1109/..
 
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4

EvolGAN: Evolutionary Generative Adversarial Networks:

, In: Computer Vision – ACCV 2020; Lecture Notes in Computer Science,
Roziere, Baptiste ; Teytaud, Fabien ; Hosu, Vlad... - p. 679-694 , 2021
Link: https://doi.org/10.1007/..
 
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5

Nevergrad : black-box optimization platform:

Bennet, Pauline ; Doerr, Carola ; Moreau, Antoine...
ACM SIGEVOlution.  14 (2021)  1 - p. 8-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Nevergrad: black-box optimization platform:

Bennet, Pauline ; Doerr, Carola ; Moreau, Antoine...
ACM SIGEVOlution.  14 (2021)  1 - p. 8-15 , 2021
Link: https://doi.org/10.1145/..
 
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7

Open source evolutionary structured optimization:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,
Rapin, Jeremy ; Bennet, Pauline ; Centeno, Emmanuel... - p. 1599-1607 , 2020
Link: https://dl.acm.org/doi/1..
 
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8

Versatile black-box optimization:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference,
Liu, Jialin ; Moreau, Antoine ; Preuss, Mike... - p. 620-628 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Variance Reduction for Better Sampling in Continuous Domain:

, In: Parallel Problem Solving from Nature – PPSN XVI; Lecture Notes in Computer Science,
Meunier, Laurent ; Doerr, Carola ; Rapin, Jeremy. - p. 154-168 , 2020
Link: https://doi.org/10.1007/..
 
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10

On Averaging the Best Samples in Evolutionary Computation:

, In: Parallel Problem Solving from Nature – PPSN XVI; Lecture Notes in Computer Science,
Meunier, Laurent ; Chevaleyre, Yann ; Rapin, Jeremy.. - p. 661-674 , 2020
Link: https://doi.org/10.1007/..
 
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11

Exploring the MLDA benchmark on the nevergrad platform:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Rapin, Jeremy ; Gallagher, Marcus ; Kerschke, Pascal.. - p. 1888-1896 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

A deep neural network learning algorithm outperforms a conv..:

Smith, Stephen W. ; Walsh, Brooks ; Grauer, Ken...
Journal of Electrocardiology.  52 (2019)  - p. 88-95 , 2019
Link: https://doi.org/10.1016/..
 
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13

A deep neural network for 12-lead electrocardiogram interpr..:

Smith, Stephen W. ; Rapin, Jeremy ; Li, Jia...
IJC Heart & Vasculature.  25 (2019)  - p. 100423 , 2019
Link: https://doi.org/10.1016/..
 
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14

Consistent population control : generate plenty of point..:

, In: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Khalidov, Vasil ; Oquab, Maxime ; Rapin, Jeremy. - p. 116-123 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

Openly revisiting derivative-free optimization:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Rapin, Jeremy ; Dorval, Pauline ; Pondard, Jules... - p. 267-268 , 2019
Link: https://dl.acm.org/doi/1..
 
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