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PhD Student

Alexander Pfefferle

Postal address

Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany

Office

Building 074, Room 00-014
GoogleScholarORCIDGitHub

I am a PhD student at the ELLIS Institute Tübingen and member of the AutoML Freiburg Lab, supervised by Frank Hutter.
My research topic is hyperparameter dependent scaling laws.

I finished my Masters at the University of Freiburg in 2024, during which I successfully participated in multiple machine learning competitions:

Publications

2024

Ma, Jun; Li, Feifei; Kim, Sumin; Asakereh, Reza; Le, Bao-Hiep; Nguyen-Vu, Dang-Khoa; Pfefferle, Alexander; Wei, Muxin; Gao, Ruochen; Lyu, Donghang; Yang, Songxiao; Purucker, Lennart; Marinov, Zdravko; Staring, Marius; Lu, Haisheng; Dao, Thuy Thanh; Ye, Xincheng; Li, Zhi; Brugnara, Gianluca; Vollmuth, Philipp; Foltyn-Dumitru, Martha; Cho, Jaeyoung; Mahmutoglu, Mustafa Ahmed; Bendszus, Martin; Pflüger, Irada; Rastogi, Aditya; Ni, Dong; Yang, Xin; Zhou, Guang-Quan; Wang, Kaini; Heller, Nicholas; Papanikolopoulos, Nikolaos; Weight, Christopher; Tong, Yubing; Udupa, Jayaram K; Patrick, Cahill J.; Wang, Yaqi; Zhang, Yifan; Contijoch, Francisco; McVeigh, Elliot; Ye, Xin; He, Shucheng; Haase, Robert; Pinetz, Thomas; Radbruch, Alexander; Krause, Inga; Kobler, Erich; He, Jian; Tang, Yucheng; Yang, Haichun; Huo, Yuankai; Luo, Gongning; Kushibar, Kaisar; Amankulov, Jandos; Toleshbayev, Dias; Mukhamejan, Amangeldi; Egger, Jan; Pepe, Antonio; Gsaxner, Christina; Luijten, Gijs; Fujita, Shohei; Kikuchi, Tomohiro; Wiestler, Benedikt; Kirschke, Jan S.; Rosa, Ezequiel; Bolelli, Federico; Lumetti, Luca; Grana, Costantino; Xie, Kunpeng; Wu, Guomin; Puladi, Behrus; Martín-Isla, Carlos; Lekadir, Karim; Campello, Victor M.; Shao, Wei; Brisbane, Wayne; Jiang, Hongxu; Wei, Hao; Yuan, Wu; Li, Shuangle; Zhou, Yuyin; Wang, Bo

Efficient MedSAMs: Segment Anything in Medical Images on Laptop Proceeding

2024.

Pfefferle, Alexander; Purucker, Lennart; Hutter, Frank

DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation Inproceedings

In: CVPR 2024: Segment Anything In Medical Images On Laptop, 2024.

2022

Roberts, Nicholas; Guo, Samuel; Xu, Cong; Talwalkar, Ameet; Lander, David; Tao, Lvfang; Cai, Linhang; Niu, Shuaicheng; Heng, Jianyu; Qin, Hongyang; Deng, Minwen; Hog, Johannes; Pfefferle, Alexander; Shivakumar, Sushil Ammanaghatta; Krishnakumar, Arjun; Wang, Yubo; Sukthanker, Rhea; Hutter, Frank; Hasanaj, Euxhen; Le, Tien-Dung; Khodak, Mikhail; Nevmyvaka, Yuriy; Rasul, Kashif; Sala, Frederic; Schneider, Anderson; Shen, Junhong; Sparks, Evan

AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale Inproceedings

In: Ciccone, Marco; Stolovitzky, Gustavo; Albrecht, Jacob (Ed.): Proceedings of the NeurIPS 2022 Competitions Track, pp. 151–170, PMLR, 2022.