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Ouns El

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Articles by Ouns El

Computer Science > Machine Learning

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By Ouns El
| arXiv
We introduce an autoregressive differentiable method to solve 0-1 integer programs. We fix an arbitrary order of the binary variables and we train a transformer to predict the next bit while remaining in the feasible set. Our method is first trained on feasible incumbents provided by any solver, thus allowing us to initialize the transformer in the feasible set.
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[2602.13910] Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks

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By Ouns El, Bernardo Cuenca
| arXiv
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From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks

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By Ouns El, Bernardo Cuenca
| arXiv
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Double-descent curves in neural networks: a new perspective using Gaussian processes

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By Ouns El, Bernardo Cuenca
| arXiv
[Submitted on 14 Feb 2021 ( v1 ), last revised 25 May 2023 (this version, v5)] Title:Double-descent curves in neural networks: a new perspective using Gaussian processes Download a PDF of the paper titled Double-descent curves in neural networks: a new perspective using Gaussian processes, by Ouns El Harzli and 2 other authors Download PDF Abstract: Double-descent curves in neural networks describe the phenomenon that the generalisation error initially descends with increasing parameters,...
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[2205.09901] Cardinality-Minimal Explanations for Monotonic Neural Networks

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By Ouns El, Bernardo Cuenca
| arXiv
[Submitted on 19 May 2022 ( v1 ), last revised 2 May 2023 (this version, v3)] Title:Cardinality-Minimal Explanations for Monotonic Neural Networks Download a PDF of the paper titled Cardinality-Minimal Explanations for Monotonic Neural Networks, by Ouns El Harzli and 2 other authors Download PDF Abstract: In recent years, there has been increasing interest in explanation methods for neural model predictions that offer precise formal guarantees.
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