Rickard Brüel Gabrielsson

20 papers A* 4A 1C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. ICML Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2025	J	`jnl`	Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. Trans. Mach. Learn. Res. Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2024	A*	`conf`	Asymmetry in Low-Rank Adapters of Foundation Models. ICML Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Asymmetry in Low-Rank Adapters of Foundation Models. CoRR Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2024	A*	`conf`	Slicing Mutual Information Generalization Bounds for Neural Networks. ICML Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
2024	J	`jnl`	Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
2023	J	`jnl`	Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2023	J	`jnl`	Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
2022	J	`jnl`	Relative Position Prediction as Pre-training for Text Encoders. CoRR Rickard Brüel Gabrielsson, Chris Scarvelis
2022	J	`jnl`	Rewiring with Positional Encodings for Graph Neural Networks. CoRR Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
2020	A	`conf`	A Topology Layer for Machine Learning. AISTATS Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba
2020	J	`jnl`	Topology-Aware Surface Reconstruction for Point Clouds. Comput. Graph. Forum Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas
2020	J	`jnl`	Universal Function Approximation on Graphs using Multivalued Functions. CoRR Rickard Brüel Gabrielsson
2020	A*	`conf`	Universal Function Approximation on Graphs. NeurIPS Rickard Brüel Gabrielsson
2019	J	`jnl`	A Topology Layer for Machine Learning. CoRR Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson
2019	C	`conf`	Exposition and Interpretation of the Topology of Neural Networks. ICMLA Rickard Brüel Gabrielsson, Gunnar E. Carlsson
2018	J	`jnl`	A look at the topology of convolutional neural networks. CoRR Rickard Brüel Gabrielsson, Gunnar E. Carlsson
2018	J	`jnl`	Topological Approaches to Deep Learning. CoRR Gunnar E. Carlsson, Rickard Brüel Gabrielsson
2018	J	`jnl`	Topology-Aware Surface Reconstruction for Point Clouds. CoRR Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas