Thaddäus Wiedemer

19 papers A* 6Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Very Big Video Reasoning Suite.
CoRR
Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang Zhong, Zehong Zhao, Gaoyun Fang, John Kitaoka, Yile Xu, Hua Xu, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, Shaoyue Wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan Yuille, Yilun Du, Ziming Liu, Bo Li, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng
2026 J jnl
MentisOculi: Revealing the Limits of Reasoning with Mental Imagery.
CoRR
Jana Zeller, Thaddäus Wiedemer, Fanfei Li, Thomas Klein, Prasanna Mayilvahanan, Matthias Bethge, Felix A. Wichmann, Ryan Cotterell, Wieland Brendel
2025 A* conf
In Search of Forgotten Domain Generalization.
ICLR
Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2025 A* conf
In Search of Forgotten Domain Generalization.
ICLR
Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2025 A* conf
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws.
ICML
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel
2025 J jnl
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws.
CoRR
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel
2025 J jnl
MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model.
CoRR
Prasanna Mayilvahanan, Ricardo Dominguez-Olmedo, Thaddäus Wiedemer, Wieland Brendel
2025 J jnl
Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks.
CoRR
Thaddäus Wiedemer, Yash Sharma, Ameya Prabhu, Matthias Bethge, Wieland Brendel
2025 J jnl
VGGSounder: Audio-Visual Evaluations for Foundation Models.
CoRR
Daniil Zverev, Thaddäus Wiedemer, Ameya Prabhu, Matthias Bethge, Wieland Brendel, A. Sophia Koepke
2025 J jnl
Video models are zero-shot learners and reasoners.
CoRR
Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos
2024 A* conf
Does CLIP's generalization performance mainly stem from high train-test similarity?
ICLR
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
2024 J jnl
In Search of Forgotten Domain Generalization.
CoRR
Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2024 A* conf
Provable Compositional Generalization for Object-Centric Learning.
ICLR
Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
2024 — conf
Scale Learning in Scale-Equivariant Convolutional Networks.
VISIGRAPP (2): VISAPP
Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert
2023 A* conf
Compositional Generalization from First Principles.
NeurIPS
Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
2023 J jnl
Compositional Generalization from First Principles.
CoRR
Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
2023 J jnl
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
CoRR
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
2023 J jnl
Provable Compositional Generalization for Object-Centric Learning.
CoRR
Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
2022 — conf
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images.
CVPR Workshops
Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer