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Ori Press
Observed names:
Ofir Press,
Press, Ori
Institution:
University of Tübingen
Observed institutions:
Princeton University,
Tübingen AI Center,
University of Tübingen
OpenAlex ID:
A5058555772
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
2021
·
Akis Linardos
, Matthias Kummerer
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
107
PDF
A benchmark of expert-level academic questions to assess AI capabilities
2026
·
Long Phan
, Alice Gatti
, et al.
·
Nature
·
61
PDF
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
2020
·
Press, Ori
, Galanti, Tomer
, et al.
·
arXiv (Cornell University)
·
31
PDF
RDumb: A simple approach that questions our progress in continual test-time adaptation
2023
·
Ori Press
, Steffen Schneider
, et al.
·
neural information processing systems
·
7
PDF
CiteME: Can Language Models Accurately Cite Scientific Claims?
2024
·
Ori Press
, Andreas Hochlehnert
, et al.
·
neural information processing systems
·
4
PDF
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
2024
·
Yang, John
, Jimenez, Carlos E.
, et al.
·
arXiv (Cornell University)
·
3
PDF
The Entropy Enigma: Success and Failure of Entropy Minimization
2024
·
Press, Ori
, Shwartz-Ziv, Ravid
, et al.
·
arXiv (Cornell University)
·
2
PDF
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.
2021
·
Akis Linardos
, Matthias Kümmerer
, et al.
·
arXiv (Cornell University)
·
1
A benchmark of expert-level academic questions to assess AI capabilities
2026
·
Center for AI Safety
, Phan, Long
, et al.
·
RWTH Publications (RWTH Aachen)
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
2025
·
Ori Press
, Brandon Amos
, et al.
·
neural information processing systems
PDF
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Works count:
10
Citation count:
216
H-index:
4
I10-index:
3
Year
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