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
72/100
前 2.3%
全站排名 #1,480
发表论文10 篇
平均评分
年均产出5.0 篇/年
Christian A. Naesseth
研究方向
Uncertainty quantification · Probabilistic Generative Modelling · Diffusion Models · Flow Models · Monte Carlo methods · Variational methods
15
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
ICML 2025Poster
三作28
Monitoring Risks in Test-Time Adaptation
NeurIPS 2025Poster
三作14
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025Poster
24
Reverse Diffusion Sequential Monte Carlo Samplers
NeurIPS 2025Poster
三作18
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
NeurIPS 2024Poster
三作13
Variational Flow Matching for Graph Generation
NeurIPS 2024Poster
三作16
Equivariant Neural Diffusion for Molecule Generation
NeurIPS 2024Poster
通讯18
Fast yet Safe: Early-Exiting with Risk Control
NeurIPS 2024Poster
16
VISA: Variational Inference with Sequential Sample-Average Approximations
NeurIPS 2024Poster
二作22
Neural Diffusion Models
ICLR 2024Rejected
三作