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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 00-012
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I am a PhD student at the ELLIS Institute Tübingen and member of the AutoML Freiburg Lab, supervised by Frank Hutter.
My current research is about Tabular Foundation Models and how to extend them to the textual modality.

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

Recently I’ve been working on nanoTabPFN, a smaller and simpler implementation of TabPFNv2, as well as the TFM-Playground, which includes nanoTabPFN and is supposed to become a fully open source Playground for Tabular Foundation Models.

Teaching:

Publications

2025

Pfefferle, Alexander; Hog, Johannes; Purucker, Lennart; Hutter, Frank

nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN Proceedings Article

In: EurIPS 2025 Workshop: AI for Tabular Data, 2025.

Pfefferle, Alexander; Purucker, Lennart; Hutter, Frank

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

In: Ma, Jun; Zhou, Yuyin; Wang, Bo (Ed.): Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, pp. 15–38, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-81854-7.

Ndir, Tidiane Camaret; Pfefferle, Alexander; Schirrmeister, Robin Tibor

Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Proceedings Article

In: Submitted to CVPR 2025: Foundation Models for 3D Biomedical Image Segmentation, 2025, (under review).

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 Proceedings

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 Proceedings Article

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