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
53.65/100
前 6.9%
全站排名 #4,427
发表论文5 篇
平均评分
年均产出2.5 篇/年
Lukas Miklautz
研究方向
Gene Expression Prediction · Systems Biology · Self-Supervised Learning · Data Mining · Machine Learning · Clustering · Deep Learning
23
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
NeurIPS 2025Poster
一作15
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
ICLR 2025Poster
二作37
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
ICLR 2025Poster
一作