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
35.92/100
前 17.9%
全站排名 #11,536
发表论文5 篇
平均评分
年均产出2.5 篇/年
Pierre ERBACHER
研究方向
Information retrieval · Deep Learning · Deep learning · Segmentation · Brain · Lesion
13
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
ICML 2025Poster
26
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
NeurIPS 2025Poster
三作30
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs
ICLR 2025Rejected
22
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training
ICLR 2025Rejected
三作