Yifei Lou

4 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AISTATS (2) ICLR (1) NeurIPS (1)

Top co-authors

Feng Chen (3) Linlin Yu (3) Pritom Kumar Saha (1) Kangshuo Li (1) Russell Hart (1) Kun Zhao (1) Jiayi Wang (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Core Methods (2) Learning Types (2) Optimization & Theory (2) Artificial Intelligence (1) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Core AI (1) Optimization (1)

Keywords

uncertainty quantification (3) graph neural network (2) epistemic uncertainty (2) aleatoric uncertainty (2) out-of-distribution detection (2) evidential deep learning (1) hyperspectral image (1) misclassification detection (1) graph posterior network (1) distance-based regularization (1) transformed l1 regularization (1) matrix completion (1) low-rank matrix (1) nuclear norm (1) dirichlet distribution (1)

Papers

Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Uncertainty-aware Graph-based Hyperspectral Image Classification ICLR 2024 Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NeurIPS 2023