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Bienvenue sur l'archive ouverte HAL de l'Institut Polytechnique de Paris
Elle comprend les publications des 5 établissements membres de l'IP Paris (cliquer sur leur logo pour accéder à leur portail HAL) :
École polytechnique | ENSTA Paris | ENSAE Paris | Télécom Paris | Télécom SudParis |
Derniers dépôts
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Eviatar Bach, V. Krishnamurthy, Safa Mote, Jagadish Shukla, A. Surjalal Sharma, et al.. Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes. Proceedings of the National Academy of Sciences of the United States of America, 2024, 121, 5, pp. 439-461. ⟨10.1073/pnas.2312573121⟩. ⟨insu-04729892⟩
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Gangiredla Srinivas, Jérôme Vialard, Matthieu Lengaigne, Takeshi Izumo, Éric Guilyardi. Relative Contributions of Sea Surface Temperature and Atmospheric Nonlinearities to ENSO Asymmetrical Rainfall Response. Journal of Climate, 2022, 35 (12), pp.3725--3745. ⟨10.1175/JCLI-D-21-0257.1⟩. ⟨hal-03718445⟩
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Cyril Dutheil, Matthieu Lengaigne, Jérôme Vialard, Swen Jullien, Christophe E. Menkès. Western and Central Tropical Pacific Rainfall Response to Climate Change: Sensitivity to Projected Sea Surface Temperature Patterns. Journal of Climate, 2022, 35, pp.6175-6189. ⟨10.1175/JCLI-D-22-0062.1⟩. ⟨insu-03846486⟩
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Julien Clement, Maria Lancieri, David Bouhjiti, J F Semblat, Benjamin Richard. In-situ characterization of Soil Structure Interaction through measurement of Impedance Functions. EURODYN 2023 - 12th International Conference on Structural Dynamics, Jul 2023, Delft, Netherlands. pp.252011, ⟨10.1088/1742-6596/2647/25/252011⟩. ⟨irsn-04890675⟩
Documents avec texte intégral
13 104
Publications en Open Access
79 %
Références bibliographiques
7 919
Nuage de mots-clés
Blockchain
Calibration
Resonance production
Statistical
KAMIOKANDE
Optimal transport
8000 GeV-cms
Machine learning
CMS
Apprentissage profond
Supersymmetry
Deep Learning
Anomaly detection
Channel cross section measured
IoT
Kinematics
Lead
Bottom particle identification
FOS Physical sciences
Nucleus
Transverse momentum
Artificial intelligence
Turbulence
Modeling
Transverse momentum dependence
Experimental results
Stability
Jet bottom
Neural network
P p colliding beams
Optimization
Laser
13000 GeV-cms
LHC-B
New physics search for
Signature
Background
P p scattering
Z0 leptonic decay
Rapidity dependence
GeV
Differential cross section measured
Muon
Channel cross section upper limit
Phase space
Security
7000 GeV-cms
Branching ratio
Top pair production
Correlation
Muon pair production
Performance
Quantum chromodynamics
Climate change
Effective field theory
Electron
Quark
Numerical calculations Monte Carlo
Privacy
Sensitivity
Machine Learning
Gravitation
CP violation
Error statistical
Statistical analysis
Lepton
Monte Carlo
Plasma
Mars
Photon
Optimisation
Deep learning
Atmosphere
Data analysis method
Channel cross section branching ratio upper limit
Hadron-Hadron Scattering
Neural networks
CERN Lab
Meson
Suppression
Rapidity
Parton distribution function
Transverse momentum missing-energy
Silicon
Reinforcement learning
Heavy ion scattering
5G
Structure
Hadron-Hadron scattering experiments
Branching ratio ratio measured
Electroweak interaction
Internet of Things
CERN LHC Coll
Mass dependence
TeV
Holography
Training
Apprentissage automatique
Programming
Simulation