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
66.25/100
前 3.3%
全站排名 #2,151
发表论文9 篇
平均评分
年均产出4.5 篇/年
Tom Jacobs
研究方向
Deep learning · Optimization
21
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
NeurIPS 2025Spotlight
三作20
Pay Attention to Small Weights
NeurIPS 2025Poster
二作28
Sign-In to the Lottery: Reparameterizing Sparse Training
NeurIPS 2025Poster
二作17
Mask in the Mirror: Implicit Sparsification
ICLR 2025Poster
一作7
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
ICML 2025Poster
一作10
Memory Savings by Sharing One Source: Insights into Subsetsum Approximation
ICLR 2025Withdrawn
二作16
Time-Dependent Mirror Flows and Where to Find Them
ICLR 2025Rejected
一作