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
71.25/100
前 2.4%
全站排名 #1,554
发表论文14 篇
平均评分
年均产出4.7 篇/年
Eric Vanden-Eijnden
研究方向
machine learning · generative models · applied and computational mathematics · Monte Carlo sampling methods with importance sampling
25
FEAT: Free energy Estimators with Adaptive Transport
NeurIPS 2025Poster
通讯32
How to build a consistency model: Learning flow maps via self-distillation
NeurIPS 2025Poster
三作14
Multitask Learning with Stochastic Interpolants
NeurIPS 2025Spotlight
通讯20
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
NeurIPS 2025Poster
通讯13
NETS: A Non-equilibrium Transport Sampler
ICML 2025Poster
二作25
NETS: A Non-Equilibrium Transport Sampler
ICLR 2025Rejected
二作15
Simulation-Free Differential Dynamics through Neural Conservation Laws
ICLR 2025Rejected
二作16
A Simulation-Free Deep Learning Approach to Stochastic Optimal Control
ICLR 2025Rejected
三作