3 citations · 7 across the 10 of their papers we have counts for
10 papers
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network
Isabelle Lorge, Li Zhang, Xiaowen Dong +1
The rise of social media platforms has led to an increase in polarised online discussions, especially on political and socio-cultural topics such as elections and climate change. W…
Rough Transformers for Continuous and Efficient Time-Series Modelling
Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon +2
Time-series data in real-world medical settings typically exhibit long-range dependencies and are observed at non-uniform intervals. In such contexts, traditional sequence-based re…
Motivic Toda brackets
Xiaowen Dong
We construct Toda brackets in unstable motivic homotopy theory and prove some fundamental properties of them. Furthermore we construct some examples of motivic Toda brackets.
A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini, Xiaowen Dong, Bruno Lepri +1
Equivariant neural networks have shown improved performance, expressiveness and sample complexity on symmetrical domains. But for some specific symmetries, representations, and cho…
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Haitz Saez de Ocariz Borde, Alvaro Arroyo, Ismael Morales +2
Recent research indicates that the performance of machine learning models can be improved by aligning the geometry of the latent space with the underlying data structure. Rather th…
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
Haitz Saez de Ocariz Borde, Alvaro Arroyo, Ismael Morales +2
Recent studies propose enhancing machine learning models by aligning the geometric characteristics of the latent space with the underlying data structure. Instead of relying solely…