GeoLoRA: Geometric integration for parameter efficient fine-tuning

Steffen Schotthöfer; Emanuele Zangrando; Gianluca Ceruti; Francesco Tudisco; Jonas Kusch

GeoLoRA: Geometric integration for parameter efficient fine-tuning

Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Original language	English
Title of host publication	Proceedings of the 12th International Conference on Learning Representations
Publisher	International Conference on Learning Representations
ISBN (Electronic)	979-8-3503-6297-0
Publication status	Accepted/In press - 22 Jan 2025
Event	The Thirteenth International Conference on Learning Representations - Singapore EXPO, Singapore Duration: 24 Apr 2025 → 28 Apr 2025 Conference number: 13 https://iclr.cc/Conferences/2025

Conference

Conference	The Thirteenth International Conference on Learning Representations
Abbreviated title	ICLR 2025
Country/Territory	Singapore
Period	24/04/25 → 28/04/25
Internet address	https://iclr.cc/Conferences/2025

Access to Document

GeoLoRA: Geometric integration for parameter efficient fine-tuningAccepted author manuscript, 1.21 MB

https://arxiv.org/abs/2410.18720

Cite this

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title = "GeoLoRA: Geometric integration for parameter efficient fine-tuning",

author = "Steffen Schotth{\"o}fer and Emanuele Zangrando and Gianluca Ceruti and Francesco Tudisco and Jonas Kusch",

year = "2025",

month = jan,

day = "22",

language = "English",

booktitle = "Proceedings of the 12th International Conference on Learning Representations",

publisher = "International Conference on Learning Representations",

note = "The Thirteenth International Conference on Learning Representations, ICLR 2025 ; Conference date: 24-04-2025 Through 28-04-2025",

url = "https://iclr.cc/Conferences/2025",

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Schotthöfer, S, Zangrando, E, Ceruti, G, Tudisco, F & Kusch, J 2025, GeoLoRA: Geometric integration for parameter efficient fine-tuning. in Proceedings of the 12th International Conference on Learning Representations. International Conference on Learning Representations, The Thirteenth International Conference on Learning Representations, Singapore, 24/04/25. <https://arxiv.org/abs/2410.18720>

GeoLoRA: Geometric integration for parameter efficient fine-tuning. / Schotthöfer, Steffen; Zangrando, Emanuele; Ceruti, Gianluca et al.
Proceedings of the 12th International Conference on Learning Representations. International Conference on Learning Representations, 2025.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - GeoLoRA: Geometric integration for parameter efficient fine-tuning

AU - Schotthöfer, Steffen

AU - Zangrando, Emanuele

AU - Ceruti, Gianluca

AU - Tudisco, Francesco

AU - Kusch, Jonas

N1 - Conference code: 13

PY - 2025/1/22

Y1 - 2025/1/22

M3 - Chapter (peer-reviewed)

BT - Proceedings of the 12th International Conference on Learning Representations

PB - International Conference on Learning Representations

T2 - The Thirteenth International Conference on Learning Representations

Y2 - 24 April 2025 through 28 April 2025

ER -