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Kamel Lahouel
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2020 – today
- 2024
- [j1]Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew
, David Lovitz, Bruno M. Jedynak
Learning nonparametric ordinary differential equations from noisy data. J. Comput. Phys. 507: 112971 (2024) - [i4]Michael Wells, Kamel Lahouel, Bruno Jedynak:
The Stochastic Occupation Kernel Method for System Identification. CoRR abs/2406.15661 (2024) - 2023
- [i3]Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak:
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR abs/2306.10189 (2023) - 2022
- [i2]Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. CoRR abs/2206.15215 (2022)
2010 – 2019
- 2018
- [c2]Ehsan Variani, Tom Bagby, Kamel Lahouel, Erik McDermott, Michiel Bacchiani:
Sampled Connectionist Temporal Classification. ICASSP 2018: 4959-4963 - 2015
- [c1]Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak:
NON-adaptive policies for 20 questions target localization. ISIT 2015: 775-778 - [i1]Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak:
Non-Adaptative Policies for 20 Questions Target Localization. CoRR abs/1504.05996 (2015)
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