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Rickard Brüel-Gabrielsson
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A topology layer for machine learning
RB Gabrielsson, BJ Nelson, A Dwaraknath, P Skraba, LJ Guibas, ...
International Conference on Artificial Intelligence and Statistics, 1553-1563, 2020
141*2020
Exposition and interpretation of the topology of neural networks
RB Gabrielsson, G Carlsson
2019 18th ieee international conference on machine learning and applications …, 2019
712019
Topological approaches to deep learning
G Carlsson, RB Gabrielsson
Topological Data Analysis: The Abel Symposium 2018, 119-146, 2020
682020
Topology‐Aware Surface Reconstruction for Point Clouds
R Brüel‐Gabrielsson, V Ganapathi‐Subramanian, P Skraba, LJ Guibas
Computer Graphics Forum 39 (5), 197-207, 2020
412020
Rewiring with positional encodings for graph neural networks
R Brüel-Gabrielsson, M Yurochkin, J Solomon
arXiv preprint arXiv:2201.12674, 2022
262022
Universal Function Approximation on Graphs
R Brüel-Gabrielsson
Advances in Neural Information Processing Systems, 2020, 2020
132020
Topological approaches to deep learning. Topological Data Analysis
G Carlsson, RB Gabrielsson
Abel Symposia 15, 2020
92020
Using topological data analysis to understand the behavior of convolutional neural networks
G Carlsson, R Gabrielsson
URL: https://www. ayasdi. com/blog/artificial-intelligence/using-topological …, 2018
62018
Asymmetry in Low-Rank Adapters of Foundation Models
J Zhu, K Greenewald, K Nadjahi, HSO Borde, RB Gabrielsson, L Choshen, ...
arXiv preprint arXiv:2402.16842, 2024
22024
Deep Augmentation: Self-Supervised Learning with Transformations in Activation Space
R Brüel-Gabrielsson, T Wang, M Baradad, J Solomon
arXiv preprint arXiv:2303.14537, 2023
1*2023
Relative position prediction as pre-training for text encoders
R Brüel-Gabrielsson, C Scarvelis
arXiv preprint arXiv:2202.01145, 2022
12022
Slicing Mutual Information Generalization Bounds for Neural Networks
K Nadjahi, K Greenewald, RB Gabrielsson, J Solomon
2023
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Articles 1–12