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
26.37/100
前 29.1%
全站排名 #18,722
发表论文9 篇
平均评分
年均产出3.0 篇/年
Benjamin Thérien
研究方向
Maximal Update Parameterization · Distributed Optimization · LLM pre-training · LLMs · Learned Optimization · Meta Learning
19
$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
ICLR 2026Poster
一作22
Communication Efficient LLM Pre-Training with SparseLoCo
ICLR 2026Rejected
二作5
Low Rank Experts Enable Specialization In Dense Transformers
ICLR 2026Withdrawn
三作10
Towards Efficient Unroll Generalization in Learned Optimizers
ICLR 2026Withdrawn
二作17
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
NeurIPS 2025Poster
22
$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
ICLR 2025Rejected
一作19
Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts
ICLR 2025Rejected
-1
StructMoE: Augmenting MoEs with Hierarchically Routed Low Rank Experts
ICLR 2025Withdrawn
三作