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
50.55/100
前 8.3%
全站排名 #5,362
发表论文6 篇
平均评分
年均产出3.0 篇/年
Steffen Schotthöfer
研究方向
Dynamical Low Rank · Compression of neural networks · Input Convex neual networks · Physics Simulation · Aerodynamics · Adjoint Optimization
22
A geometric framework for momentum-based optimizers for low-rank training
NeurIPS 2025Poster
一作25
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
NeurIPS 2025Oral
一作22
GeoLoRA: Geometric integration for parameter efficient fine-tuning
ICLR 2025Poster
一作22
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
ICLR 2025Rejected
一作