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Fabio Ferreira
Postdoc, Technische Fakultät, Albert-Ludwigs-Universität Freiburg
Joined
September 2019
Names
Fabio Ferreira
(Preferred)
,
Fábio Ferreira
Emails
****@cs.stanford.edu
(Confirmed)
,
****@mailbox.org
(Confirmed)
,
****@cs.uni-freiburg.de
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Postdoc
Technische Fakultät,
Albert-Ludwigs-Universität Freiburg
(uni-freiburg.de)
2025
–
Present
PhD student
Technische Fakultät,
Albert-Ludwigs-Universität Freiburg
(uni-freiburg.de)
2020
–
2025
MS student
Stanford University
(stanford.edu)
2018
–
2019
MS student
Karlsruhe Institute of Technology
(kit.edu)
2016
–
2019
Advisors, Relations & Conflicts
PhD Advisor
Frank Hutter
2020
–
Present
Coauthor
Jonas Rothfuss
2016
–
2020
Coauthor
Lin Shao
2018
–
2019
PhD Advisor
Jeannette Bohg
2018
–
2019
PhD Advisor
Tamim Asfour
2016
–
2019
Coauthor
Eren Erdal Aksoy
2016
–
2019
Expertise
No areas of expertise listed
Publications
Improving LLM-based Global Optimization with Search Space Partitioning
Andrej Schwanke
,
Lyubomir Ivanov
,
David Salinas
,
Fabio Ferreira
,
Aaron Klein
,
Frank Hutter
,
Arber Zela
ICLR 2026 Poster
Readers:
Everyone
Transfer Learning for Finetuning Large Language Models
Tobias Strangmann
,
Lennart Purucker
,
Jörg K.H. Franke
,
Ivo Rapant
,
Fabio Ferreira
,
Frank Hutter
AFM 2024 Poster
Readers:
Everyone
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
,
Moreno Schlageter
,
Raghu Rajan
,
André Biedenkapp
,
Frank Hutter
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
Beyond Random Augmentations: Pretraining with Hard Views
Fabio Ferreira
,
Ivo Rapant
,
Jörg K.H. Franke
,
Frank Hutter
ICLR 2025 Poster
Readers:
Everyone
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
,
Moreno Schlageter
,
Raghu Rajan
,
André Biedenkapp
,
Frank Hutter
NeurIPS 2024 Workshop Open-World Agents Poster
Readers:
Everyone
Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models
Ivo Rapant
,
Lennart Purucker
,
Fabio Ferreira
,
Sebastian Pineda Arango
,
Arlind Kadra
,
Josif Grabocka
,
Frank Hutter
AutoML 2024 Workshop
Readers:
Everyone
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango
,
Fabio Ferreira
,
Arlind Kadra
,
Frank Hutter
,
Josif Grabocka
ICLR 2024 oral
Readers:
Everyone
Hard View Selection for Contrastive Learning
Fabio Ferreira
,
Ivo Rapant
,
Frank Hutter
Submitted to ICLR 2024
Readers:
Everyone
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
Diane Wagner
,
Fabio Ferreira
,
Danny Stoll
,
Robin Tibor Schirrmeister
,
Samuel Müller
,
Frank Hutter
26 May 2022 (modified: 30 Dec 2025)
ICML 2022 Pre-training Workshop
Readers:
Everyone
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
Fabio Ferreira
,
Thomas Nierhoff
,
Andreas Sälinger
,
Frank Hutter
Published: 28 Jan 2022, Last Modified: 12 Oct 2025
ICLR 2022 Poster
Readers:
Everyone
View all 20 publications
Co-Authors
Aaron Klein
Andreas Sälinger
Andrej Schwanke
André Biedenkapp
Arber Zela
Arlind Kadra
Daniel Renninghoff
Danny Stoll
David Salinas
Diane Wagner
Eren Erdal Aksoy
Eugen Solowjow
Frank Hutter
Ivo Rapant
Jan Ole von Hartz
Jeannette Bohg
Jessica Lizeth Borja Diaz
Jianlan Luo
Jonas Rothfuss
Josif Grabocka
Juan Aparicio Ojea
Jörg K.H. Franke
Lennart Purucker
Lin Shao
Lyubomir Ivanov
View all 42 co-authors