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Wassim Tenachi

Observed names: TENACHI Wassim, TENACHI, Wassim, Tenachi, Wassim, W. Tenachi
ORCID: 0000-0001-8392-3836
Observed ORCID: 0000-0001-8392-3836
OpenAlex ID: A5030164426
Deep Symbolic Regression for Physics Guided by Units Constraints: Toward the Automated Discovery of Physical Laws
2023 · Wassim Tenachi, Rodrigo Ibata, et al. · The Astrophysical Journal · 114
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Charting the Galactic Acceleration Field. II. A Global Mass Model of the Milky Way from the STREAMFINDER Atlas of Stellar Streams Detected in Gaia DR3
2024 · Rodrigo Ibata, Khyati Malhan, et al. · The Astrophysical Journal · 74
Typhon: A Polar Stream from the Outer Halo Raining through the Solar Neighborhood
2022 · Wassim Tenachi, Pierre-Antoine Oria, et al. · The Astrophysical Journal Letters · 20
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Antaeus: A Retrograde Group of Tidal Debris in the Milky Way’s Disk Plane
2022 · Pierre-Antoine Oria, Wassim Tenachi, et al. · The Astrophysical Journal Letters · 18
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Class Symbolic Regression: Gotta Fit ’Em All
2024 · Wassim Tenachi, Rodrigo Ibata, et al. · The Astrophysical Journal Letters · 9
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Generalizing the SINDy approach with nested neural networks
2025 · Camilla Fiorini, Clément Flint, et al. · ESAIM Proceedings and Surveys · 3
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Physical Symbolic Optimization
2023 · Tenachi, Wassim, Ibata, Rodrigo, et al. · arXiv (Cornell University) · 2
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Class Symbolic Regression: Gotta Fit 'Em All
2023 · Tenachi, Wassim, Ibata, Rodrigo, et al. · arXiv (Cornell University) · 2
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PhySO-v1.1.0
2024 · Tenachi, Wassim, Ibata, Rodrigo, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates
2023 · W. Tenachi, R. Ibata, et al. · Proceedings of the International Astronomical Union · 1
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PhySO-v1.0.0
2023 · Tenachi, Wassim, Ibata, Rodrigo, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
2026 · Tenachi, Wassim, Hezaveh, Yashar, et al. · arXiv (Cornell University)
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NestyNet. III. Symbolic Regression from Analytic Neural Surrogates
2026 · Ibata, Rodrigo, Tenachi, Wassim, et al. · arXiv (Cornell University)
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NestyNet. IV. Laws Chosen by Nothing in Advance
2026 · Ibata, Rodrigo, Tenachi, Wassim, et al. · arXiv (Cornell University)
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NestyNet. II. Coherent Function-Space Posteriors from Scientific Neural Surrogates (or How to Avoid Expensive MCMC)
2026 · Ibata, Rodrigo, Tenachi, Wassim, et al. · arXiv (Cornell University)
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NestyNet. I. Physics Functions Are Hard to Fit with Neural Networks: A Framework for Accurate Surrogates and Analytic Derivatives
2026 · Ibata, Rodrigo, Tenachi, Wassim, et al. · arXiv (Cornell University)
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AI Feynman problems data, used in NestyNet and NestyNet-SR
2026 · TENACHI, Wassim · Zenodo (CERN European Organization for Nuclear Research)
Apprentissage automatique symbolique pour la physique et l'astrophysique
2024 · Tenachi, Wassim · theses.fr (ABES)
Symbolic machine learning for physics and astrophysics
2024 · Wassim Tenachi
Symbolic regression driven by dimensional analysis for the automated discovery of physical laws and constants of nature
2023 · Tenachi, Wassim, Ibata, Rodrigo, et al. · HAL
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Data for the article "Typhon: a polar stream from the outer halo raining through the Solar neighborhood"
2022 · Tenachi, Wassim, Oria, Pierre-Antoine, et al. · Zenodo (CERN European Organization for Nuclear Research)
Data for the article "Antaeus: a retrograde group of tidal debris in the Milky Way's disk plane"
2022 · ORIA Pierre-Antoine, TENACHI Wassim, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 22
Citation count: 245
H-index: 5
I10-index: 4
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