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
32.59/100
前 21.6%
全站排名 #13,887
发表论文5 篇
平均评分
年均产出5.0 篇/年
Arik Reuter
研究方向
Prior-Fitted Networks · Amortized Simulation-based Inference · Transformer Neural Processes · Probabilistic Modelling · Bayesian Deep Learning · Uncertainty Quanitfication · Topic Modelling · Probabilistic Topic Modelling · Neural Topic Modelling
18
Do-PFN: In-Context Learning for Causal Effect Estimation
NeurIPS 2025Spotlight
二作40
In-Context Learning for Full Bayesian Inference
ICLR 2025Rejected
一作24
From Uncontextualized Embeddings to Marginal Feature Effects: Incorporating Intelligibility into Tabular Transformer Networks
ICLR 2025Rejected
二作11
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025Poster
一作28
Mambular: A Sequential Model for Tabular Deep Learning
ICLR 2025Rejected