A look at the topology of convolutional neural networks. - Rickard Brüel Gabrielsson; Gunnar E. Carlsson (CoRR, 2018)

Topological Approaches to Deep Learning. - Gunnar E. Carlsson; Rickard Brüel Gabrielsson (CoRR, 2018)

Exposition and Interpretation of the Topology of Neural Networks. - Rickard Brüel Gabrielsson; Gunnar E. Carlsson (ICMLA, 2019)

A Topology Layer for Machine Learning. - Rickard Brüel Gabrielsson; Bradley J. Nelson; Anjan Dwaraknath; Primoz Skraba; Leonidas J. Guibas; Gunnar E. Carlsson (CoRR, 2019)

A Topology Layer for Machine Learning. - Rickard Brüel Gabrielsson; Bradley J. Nelson; Anjan Dwaraknath; Primoz Skraba (AISTATS, 2020)

Universal Function Approximation on Graphs. - Rickard Brüel Gabrielsson (NeurIPS, 2020)

Topology-Aware Surface Reconstruction for Point Clouds. - Rickard Brüel Gabrielsson; Vignesh Ganapathi-Subramanian; Primoz Skraba; Leonidas J. Guibas (Comput. Graph. Forum, 2020)

Universal Function Approximation on Graphs using Multivalued Functions. - Rickard Brüel Gabrielsson (CoRR, 2020)

Relative Position Prediction as Pre-training for Text Encoders. - Rickard Brüel Gabrielsson; Chris Scarvelis (CoRR, 2022)

Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. - Rickard Brüel Gabrielsson; Tongzhou Wang 001; Manel Baradad; Justin Solomon 001 (CoRR, 2023)

Rewiring with Positional Encodings for Graph Neural Networks. - Rickard Brüel Gabrielsson; Mikhail Yurochkin; Justin Solomon 001 (Trans. Mach. Learn. Res., 2023)

Slicing Mutual Information Generalization Bounds for Neural Networks. - Kimia Nadjahi; Kristjan H. Greenewald; Rickard Brüel Gabrielsson; Justin Solomon 001 (ICML, 2024)

Asymmetry in Low-Rank Adapters of Foundation Models. - Jiacheng Zhu; Kristjan H. Greenewald; Kimia Nadjahi; Haitz Sáez de Ocáriz Borde; Rickard Brüel Gabrielsson; Leshem Choshen; Marzyeh Ghassemi; Mikhail Yurochkin; Justin Solomon 001 (ICML, 2024)

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. - Rickard Brüel Gabrielsson; Jiacheng Zhu; Onkar Bhardwaj; Leshem Choshen; Kristjan H. Greenewald; Mikhail Yurochkin; Justin Solomon 001 (CoRR, 2024)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. - Rickard Brüel Gabrielsson; Tongzhou Wang 001; Manel Baradad; Justin Solomon 001 (Trans. Mach. Learn. Res., 2025)