Rickard Brüel Gabrielsson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Function Approximation

Topology Preservation

Top Venues

Comput. Graph. Forum

Trans. Mach. Learn. Res.

Publications

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR (2024)
Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR (2024)
Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR (2024)
Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR (2023)
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
Rewiring with Positional Encodings for Graph Neural Networks. CoRR (2022)
Rickard Brüel Gabrielsson, Chris Scarvelis
Relative Position Prediction as Pre-training for Text Encoders. CoRR (2022)
Rickard Brüel Gabrielsson
Universal Function Approximation on Graphs. NeurIPS (2020)
Rickard Brüel Gabrielsson
Universal Function Approximation on Graphs using Multivalued Functions. CoRR (2020)
Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas
Topology-Aware Surface Reconstruction for Point Clouds. Comput. Graph. Forum 39 (5) (2020)
Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba
A Topology Layer for Machine Learning. AISTATS (2020)
Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson
A Topology Layer for Machine Learning. CoRR (2019)
Rickard Brüel Gabrielsson, Gunnar E. Carlsson
Exposition and Interpretation of the Topology of Neural Networks. ICMLA (2019)
Gunnar E. Carlsson, Rickard Brüel Gabrielsson
Topological Approaches to Deep Learning. CoRR (2018)
Rickard Brüel Gabrielsson, Gunnar E. Carlsson
A look at the topology of convolutional neural networks. CoRR (2018)
Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas
Topology-Aware Surface Reconstruction for Point Clouds. CoRR (2018)