Antoine Blanchard

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Continuous latent representations for modeling precipitation with deep learning. CoRR Gokul Radhakrishnan, Rahul Sundar, Nishant Parashar, Antoine Blanchard, Daiwei Wang, Boyko A. Dodov
2024	J	`jnl`	TAUDiff: Improving statistical downscaling for extreme weather events using generative diffusion models. CoRR Rahul Sundar, Nishant Parashar, Antoine Blanchard, Boyko A. Dodov
2022	J	`jnl`	A Multi-Scale Deep Learning Framework for Projecting Weather Extremes. CoRR Antoine Blanchard, Nishant Parashar, Boyko A. Dodov, Christian Lessig, Themistoklis P. Sapsis
2021	J	`jnl`	Bayesian optimization with output-weighted optimal sampling. J. Comput. Phys. Antoine Blanchard, Themistoklis P. Sapsis
2021	J	`jnl`	Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification Antoine Blanchard, Themistoklis P. Sapsis
2021	J	`jnl`	Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs. CoRR Yibo Yang, Antoine Blanchard, Themistoklis P. Sapsis, Paris Perdikaris
2020	J	`jnl`	Bayesian Optimization with Output-Weighted Importance Sampling. CoRR Antoine Blanchard, Themistoklis P. Sapsis
2020	J	`jnl`	Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring. CoRR Antoine Blanchard, Themistoklis P. Sapsis
2020	J	`jnl`	Output-Weighted Importance Sampling for Bayesian Experimental Design and Uncertainty Quantification. CoRR Antoine Blanchard, Themistoklis P. Sapsis
2019	J	`jnl`	Analytical Description of Optimally Time-Dependent Modes for Reduced-Order Modeling of Transient Instabilities. SIAM J. Appl. Dyn. Syst. Antoine Blanchard, Themistoklis P. Sapsis
2019	J	`jnl`	Machine Learning the Tangent Space of Dynamical Instabilities from Data. CoRR Antoine Blanchard, Themistoklis P. Sapsis