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
62.4/100
前 4.2%
全站排名 #2,682
发表论文8 篇
平均评分
年均产出2.7 篇/年
Grant M. Rotskoff
研究方向
mean-field neural networks · statistical mechanics · applied mathematics · chemistry · biophysics
16
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
ICLR 2025Poster
三作12
Features are fate: a theory of transfer learning in high-dimensional regression
ICML 2025Poster
三作21
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
NeurIPS 2025Poster
18
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
NeurIPS 2025Poster
通讯24
Features are fate: a theory of transfer learning in high-dimensional regression
ICLR 2025Rejected
三作