影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文6 篇
平均评分
年均产出3.0 篇/年
Vladimir Vanovskiy
研究方向
graph neural networks · physics-informed machine learning · graph coarsening · deep recurrent reinforcement learning · bayesian methods · q-learning
34
Learnable Stability-Aware Unstructured Grid Coarsening Using Graph Neural Networks for Accelerated Physics Simulations
ICLR 2025Rejected
通讯18
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery
ICLR 2025Rejected
通讯15
Atmospheric Radiation Parameterization by Neural Ordinary Differential Equations and Related Models
ICLR 2025Rejected
通讯13
Differentiable Implicit Solver on Graph Neural Networks for Forward and Inverse Problems
ICLR 2025Rejected
通讯