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08/24/2023
Disentanglement Learning via Topology
We propose TopDis (Topological Disentanglement), a method for learning d...
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06/07/2023
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
Rapidly increasing quality of AI-generated content makes it difficult to...
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01/31/2023
Learning Topology-Preserving Data Representations
We propose a method for learning topology-preserving data representation...
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11/30/2022
Topological Data Analysis for Speech Processing
We apply topological data analysis (TDA) to speech classification proble...
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05/19/2022
Acceptability Judgements via Examining the Topology of Attention Maps
The role of the attention mechanism in encoding linguistic knowledge has...
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12/31/2021
Representation Topology Divergence: A Method for Comparing Neural Network Representations
Comparison of data representations is a complex multi-aspect problem tha...
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09/10/2021
Artificial Text Detection via Examining the Topology of Attention Maps
The impressive capabilities of recent generative models to create texts ...
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06/08/2021
Manifold Topology Divergence: a Framework for Comparing Data Manifolds
We develop a framework for comparing data manifolds, aimed, in particula...
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12/31/2020
Topological obstructions in neural networks learning
We apply methods of topological data analysis to loss functions to gain ...
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11/29/2019
