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Found 6 papers, 2 papers with code
AI-generated text boundary detection with RoFT
Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated.
ICML 2023 Topological Deep Learning Challenge : Design and Results
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning.
Global cognitive graph properties dynamics of hippocampal formation
In the present study we have used a set of methods and metrics to build a graph of relative neural connections in a hippocampus of a rodent.
Deep neural networks architectures from the perspective of manifold learning
Despite significant advances in the field of deep learning in ap-plications to various areas, an explanation of the learning pro-cess of neural network models remains an important open ques-tion.
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
Computing homotopy groups of spheres has long been a fundamental objective in algebraic topology.
Topology and geometry of data manifold in deep learning
Despite significant advances in the field of deep learning in applications to various fields, explaining the inner processes of deep learning models remains an important and open question.
