Research output per year
Research output per year
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Dive into the research topics where Akshay Rangamani 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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Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds
Xu, M., Rangamani, A., Liao, Q., Galanti, T. & Poggio, T., 2023, In: Research. 6, 0024.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
Feature Learning in Deep Classifiers through Intermediate Neural Collapse
Rangamani, A., Lindegaard, M., Galanti, T. & Poggio, T., 2023, In: Proceedings of Machine Learning Research. 202, p. 28729-28745 17 p.Research output: Contribution to journal › Conference article › peer-review
9 Scopus citations -
For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability
Rangamani, A., Rosasco, L. & Poggio, T., Jan 1 2023, In: Analysis and Applications. 21, 1, p. 193-215 23 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
NEURAL COLLAPSE IN DEEP HOMOGENEOUS CLASSIFIERS AND THE ROLE OF WEIGHT DECAY
Rangamani, A. & Banburski-Fahey, A., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4243-4247 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
13 Scopus citations -
Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning
Alford, S., Gandhi, A., Rangamani, A., Banburski, A., Wang, T., Dandekar, S., Chin, J., Poggio, T. & Chin, P., 2022, Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. & Sales-Pardo, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 657-668 12 p. (Studies in Computational Intelligence; vol. 1015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
6 Scopus citations
Press/Media
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New insights into training dynamics of deep classifiers
7/4/23
1 item of Media coverage
Press/Media: Press / Media
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Studies from Massachusetts Institute of Technology Describe New Findings in Science and Technology (Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds)
3/29/23
1 item of Media coverage
Press/Media: Press / Media
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New insights into training dynamics of deep classifiers
3/15/23
1 item of Media coverage
Press/Media: Press / Media
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-MIT - New insights into training dynamics of deep classifiers
3/9/23
2 items of Media coverage
Press/Media: Press / Media
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New insights into training dynamics of deep classifiers
3/8/23 → 3/9/23
2 items of Media coverage
Press/Media: Press / Media