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Theodore Papamarkou

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:44 AM AMS

5

papers

125

total citations

papers (5)

Position: Topological Deep Learning is the New Frontier for Relational Learning

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework

NEURIPS 2025arXiv

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems

NEURIPS 2025arXiv