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Roland Kwitt

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, 6:42 AM AMS

8

papers

217

total citations

papers (8)

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

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency

Topological Attention for Time Series Forecasting

NEURIPS 2021arXiv

ICON: Learning Regular Maps Through Inverse Consistency

A shooting formulation of deep learning

NEURIPS 2020arXiv

Latent SDEs on Homogeneous Spaces

NEURIPS 2023arXiv

On Measuring Excess Capacity in Neural Networks

NEURIPS 2022arXiv

CARL: A Framework for Equivariant Image Registration