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4 篇
平均评分
年均产出2.0 篇/年
Andrei Ermakov
研究方向
Combinatorial Optimization · Deep Learning
15
Unsupervised Graph Neural Networks for Solving Combinatorial Optimization Problems by Iterative Solution Refinement
ICLR 2026Rejected
二作5
Optimizing Pseudo-Boolean Polynomials using Hypergraph Neural Networks
ICLR 2026Withdrawn
一作4
Decoder Only Transformer for Physics Informed Neural Networks
ICLR 2026Withdrawn
二作