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
72.61/100
前 2.2%
全站排名 #1,436
发表论文12 篇
平均评分
年均产出4.0 篇/年
Louis Béthune
研究方向
Lipschitz Neural Network · Optimal Transport · Deep Learning · Privacy · Gaussian processes
32
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
NeurIPS 2025Poster
一作28
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
NeurIPS 2025Poster
二作20
Scaling Laws for Optimal Data Mixtures
NeurIPS 2025Poster
二作12
Multivariate Conformal Prediction using Optimal Transport
ICML 2025Rejected
二作8
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025Poster
三作11
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
ICML 2025Poster
一作25
Sparse Repellency for Shielded Generation in Text-to-Image Diffusion Models
ICLR 2025Rejected
11
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
ICML 2025Poster
三作