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Rickard Brüel Gabrielsson
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2020 – today
- 2024
- [c5]Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. ICML 2024 - [c4]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. ICML 2024 - [i11]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 abs/2402.16842 (2024) - [i10]Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR abs/2406.04047 (2024) - [i9]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 abs/2407.00066 (2024) - 2023
- [j2]Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [i8]Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon:
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR abs/2303.14537 (2023) - 2022
- [i7]Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. CoRR abs/2201.12674 (2022) - [i6]Rickard Brüel Gabrielsson, Chris Scarvelis:
Relative Position Prediction as Pre-training for Text Encoders. CoRR abs/2202.01145 (2022) - 2020
- [j1]Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas:
Topology-Aware Surface Reconstruction for Point Clouds. Comput. Graph. Forum 39(5): 197-207 (2020) - [c3]Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba:
A Topology Layer for Machine Learning. AISTATS 2020: 1553-1563 - [c2]Rickard Brüel Gabrielsson:
Universal Function Approximation on Graphs. NeurIPS 2020 - [i5]Rickard Brüel Gabrielsson:
Universal Function Approximation on Graphs using Multivalued Functions. CoRR abs/2003.06706 (2020)
2010 – 2019
- 2019
- [c1]Rickard Brüel Gabrielsson, Gunnar E. Carlsson:
Exposition and Interpretation of the Topology of Neural Networks. ICMLA 2019: 1069-1076 - [i4]Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson:
A Topology Layer for Machine Learning. CoRR abs/1905.12200 (2019) - 2018
- [i3]Rickard Brüel Gabrielsson, Gunnar E. Carlsson:
A look at the topology of convolutional neural networks. CoRR abs/1810.03234 (2018) - [i2]Gunnar E. Carlsson, Rickard Brüel Gabrielsson:
Topological Approaches to Deep Learning. CoRR abs/1811.01122 (2018) - [i1]Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas:
Topology-Aware Surface Reconstruction for Point Clouds. CoRR abs/1811.12543 (2018)
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last updated on 2024-09-04 00:31 CEST by the dblp team
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