🏢 Munich Center for Machine Learning
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
·3118 words·15 mins·
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AI Theory
Representation Learning
🏢 Munich Center for Machine Learning
This paper introduces r-lWL, a new graph isomorphism test hierarchy that surpasses the limitations of the Weisfeiler-Leman test by counting cycles up to length r+2, and its GNN counterpart, r-lMPNN, w…
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
·3451 words·17 mins·
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Computer Vision
Image Generation
🏢 Munich Center for Machine Learning
Stable-Pose: Precise human pose guidance for text-to-image synthesis.
DiffPO: A causal diffusion model for learning distributions of potential outcomes
·1592 words·8 mins·
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Machine Learning
Deep Learning
🏢 Munich Center for Machine Learning
DiffPO: A causal diffusion model learns outcome distributions, offering reliable medical interventions.
Autoregressive Policy Optimization for Constrained Allocation Tasks
·2331 words·11 mins·
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AI Generated
Machine Learning
Reinforcement Learning
🏢 Munich Center for Machine Learning
PASPO: a novel autoregressive policy optimization method for constrained allocation tasks guarantees constraint satisfaction and outperforms existing methods.