Thomas Liebig

3 papers · 2020–2025 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

ACML (1) IJCAI (1) PGM (1)

Top co-authors

Andreas Roth (2) Alejandro Molina (1) Robert Peharz (1) Xiaoting Shao (1) Kristian Kersting (1) Antonio Vergari (1) Karl Stelzner (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Core Methods (2) Learning Types (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Application Areas (1) Bayesian & Probabilistic · Machine Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Models (1)

Keywords

graph neural network (2) feature transformation (1) message passing (1) tractable inference (1) probabilistic graphical model (1) autoregressive model (1) node classification (1) graph convolution (1) conditional density estimation (1) message passing neural network (1) sum-product network (1) injective representation (1) localized approximation (1) multivariate distribution (1) conditional sum-product network (1) multi-input multi-output (1) deep probabilistic model (1) edge deletion (1) multi-label image classification (1) prediction churn (1)

Papers

What Can We Learn From MIMO Graph Convolutions? IJCAI 2025 Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020