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
22.48/100
前 36.1%
全站排名 #23,246
发表论文3 篇
平均评分
年均产出3.0 篇/年
Rik Sarkar
研究方向
zero knowledge proofs · protein design · diffusion models · loss landscapes · machine learning · differential privacy · Graph neural networks · Graph machine learning · social network analysis · computational geometry · distributed algorithms
18
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
NeurIPS 2024Poster
三作16
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
NeurIPS 2024Poster
三作12
Metric Space Magnitude for Evaluating Unsupervised Representation Learning
ICLR 2024Rejected
三作