Research output per year
Research output per year
Personal profile
About Me
Research:
- Machine Learning
- Deep Learning and Applications
- Feature Extraction and Selection
- Learning from Biomedical Data
Education/Academic qualification
PhD, Tel Aviv University
Oct 2012 → Jul 2017
Award Date: 1 Jul 2017
Master's Degree, Tel Aviv University
Oct 2010 → Oct 2012
Award Date: 1 Oct 2012
Bachelor
Mar 2006 → Mar 2010
Award Date: 1 Mar 2010
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Dive into the research topics where Ofir Lindenbaum is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ADARANKGRAD: ADAPTIVE GRADIENT RANK AND MOMENTS FOR MEMORY-EFFICIENT LLMS TRAINING AND FINE-TUNING
Refael, Y., Svirsky, J., Shustin, B., Huleihel, W. & Lindenbaum, O., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 56295-56316 22 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Conditional Deep Canonical Time Warping
Eisenberg, R., Steinberg, A. & Lindenbaum, O., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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COPER: CORRELATION-BASED PERMUTATIONS FOR MULTI-VIEW CLUSTERING
Eisenberg, R., Svirsky, J. & Lindenbaum, O., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 10464-10489 26 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
Grinberg, Y., Harel, N., Goldberger, J. & Lindenbaum, O., 2025, In: Computer Science Research Notes. 3501, 2025, p. 173-181 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Enhancing sequence alignment of adaptive immune receptors through multi-task deep learning
Konstantinovsky, T., Peres, A., Eisenberg, R., Polak, P., Lindenbaum, O. & Yaari, G., 8 Jul 2025, In: Nucleic Acids Research. 53, 13, gkaf651.Research output: Contribution to journal › Article › peer-review
Open Access