Gabrielsson, Rickard Brüel

10 publications

ICML 2025 Compress Then Serve: Serving Thousands of LoRA Adapters with Little Overhead Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon

TMLR 2025 Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon

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

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

ICMLW 2024 Compress Then Serve: Serving Thousands of LoRA Adapters with Little Overhead Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon

ICML 2024 Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon

TMLR 2023 Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon

ICMLW 2023 Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon

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

NeurIPS 2020 Universal Function Approximation on Graphs Rickard Brüel Gabrielsson