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
35.99/100
前 17.9%
全站排名 #11,505
发表论文8 篇
平均评分
年均产出4.0 篇/年
Simon V Mathis
研究方向
Invariance / equivariance · Geometric deep learning · Graph neural networks · Enzyme engineering · Proteins · AI for biology
23
gRNAde: Geometric Deep Learning for 3D RNA inverse design
ICLR 2025Spotlight
22
RNA FrameFlow: Flow Matching for de novo 3D RNA Backbone Generation
ICLR 2025Rejected
6
PoseCheck: Generative Models for 3D Structure-based Drug Design Produce Unrealistic Poses
ICLR 2025Rejected
6
Improving Antibody Design with Force-Guided Sampling in Diffusion Models
ICLR 2025Withdrawn
三作20
Evaluating Representation Learning on the Protein Structure Universe
ICLR 2024Poster
30
gRNAde: Geometric Deep Learning for 3D RNA inverse design
NeurIPS 2024Rejected
18
Dynamics-Informed Protein Design with Structure Conditioning
ICLR 2024Poster
二作21
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
NeurIPS 2024Poster