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
56.59/100
前 5.9%
全站排名 #3,777
发表论文11 篇
平均评分
年均产出3.7 篇/年
David I. Inouye
研究方向
distribution shift · explainable AI · interpretability · explanability · causal ML · counterfactuals · causal representation learning · counterfactual fairness · federated learning · localized learning · iterative learning methods · distribution matching · domain-invariant representation learning
16
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
ICLR 2026Poster
二作24
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching
ICLR 2026Rejected
通讯14
Is it worth it to collect missing values?: The Missing Value Uncertainty Problem
ICLR 2026Rejected
通讯12
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
ICML 2025Poster
三作26
Causally Motivated Diffusion Sampling Frameworks for Harnessing Contextual Bias
ICLR 2025Rejected
三作21
Robust Decentralized VFL Over Dynamic Device Environment
ICLR 2025Rejected
通讯30
Improving Distribution Matching via Score-Based Priors and Structural Regularization
ICLR 2025Rejected
三作