Emonet, Rémi

1. On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
   2025/06/04 by Quentin Bertrand, Anne Gagneux, Bertrand, Quentin +5 · 1 voice · 20 citations
   Decision Sciences · Engineering · #Forecasting Techniques and Applications #Reservoir Engineering and Simulation Methods #Simulation Techniques and Applications #cs.LG #stat.ML
2. Residual Conv-Deconv Grid Network for Semantic Segmentation
   2017/07/25 by Fourure, Damien, Emonet, Rémi, Fromont, Elisa +3 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
   2019/06/03 by Yichang Wang, Wang, Yichang, Rémi Emonet +11 · 1 citation
   Computer Science · Economics, Econometrics and Finance · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
4. Fair Text Classification with Wasserstein Independence
   2023/11/21 by Leteno, Thibaud, Gourru, Antoine, Laclau, Charlotte +2 · 2 citations
   #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
   2019/01/30 by Rußwurm, Marc, Courty, Nicolas, Emonet, Rémi +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Photonic Learning in Ultrafast Laser-Induced Complexity
   2025/06/30 by Fayad Ali Banna, Eduardo Brandão, Banna, Fayad Ali +9 · 1 citation
   Engineering · Computer Science · #Photonic and Optical Devices #Neural Networks and Reservoir Computing
7. Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
   2024/02/19 by Paul Viallard, Viallard, Paul, Rémi Emonet +7 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
8. Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data
   2025/10/21 by Banna, Fayad Ali, Caradot, Antoine, Brandao, Eduardo +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)