Marc Bocquet

1. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
   2023/03/18 by Sibo Cheng, Cheng, Sibo, Cesar Quilodran-Casas +31 · 10 citations
   Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Plant Water Relations and Carbon Dynamics
2. DADA: Data Assimilation for the Detection and Attribution of Weather-\n and Climate-related Events
   2015/03/17 by Alexis Hannart, Alberto Carrassi, Hannart, Alexis +13 · 2 citations
   Computer Science · Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Climate variability and models #FOS: Computer and information sciences #Hydrology and Drought Analysis #Image and Signal Denoising Methods #Meteorological Phenomena and Simulations
3. Online model error correction with neural networks in the incremental 4D-Var framework
   2022/10/25 by Alban Farchi, Farchi, Alban, Marcin Chrust +7 · 3 citations
   Earth and Planetary Sciences · Engineering · Environmental Science · #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Reservoir Engineering and Simulation Methods
4. Estimating model evidence using ensemble-based data assimilation with\n localization - The model selection problem
   2017/09/19 by Sammy Metref, Metref, Sammy, Alexis Hannart +9 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Climate variability and models #Computation (stat.CO) #FOS: Computer and information sciences #Meteorological Phenomena and Simulations #Methodology (stat.ME)
5. Comprehensive Phase-Change Memory Compact Model for Circuit Simulation
   2018/08/14 by Corentin Pigot, Marc Bocquet, M. Bocquet +10 · 1 citation
   Materials Science · Engineering · #Phase-change materials and chalcogenides #Liquid Crystal Research Advancements #Advanced Memory and Neural Computing
6. A Memristor-Based Bayesian Machine
   2021/12/20 by Kamel-Eddine Harabi, Tifenn Hirtzlin, Harabi, Kamel-Eddine +19 · 2 voices
   Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Radiation Effects in Electronics #cs.ET
7. Digital Biologically Plausible Implementation of Binarized Neural\n Networks with Differential Hafnium Oxide Resistive Memory Arrays
   2019/08/12 by Tifenn Hirtzlin, Hirtzlin, Tifenn, Marc Bocquet +13 · 1 citation
   Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Semiconductor materials and devices
8. Ensemble Kalman filter in latent space using a variational autoencoder pair
   2025/02/18 by Ivo Pasmans, Yumeng Chen, Pasmans, Ivo +7 · 4 citations
   Computer Science · #Target Tracking and Data Fusion in Sensor Networks
9. A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation
   2020/08/25 by Pierre Tandeo, Pierre Ailliot, Marc Bocquet +4 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Wind and Air Flow Studies
10. Development of an offline and online hybrid model for the Integrated Forecasting System
    2024/03/06 by Alban Farchi, Marcin Chrust, Farchi, Alban +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
11. From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations
    2026/07/28 by Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5
    #cs.LG #cs.AI