Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Learning Mathematics
Learning algorithms Engineering & Materials Science
Multilayer Mathematics
Data structures Engineering & Materials Science
Multilayers Engineering & Materials Science
Deep learning Engineering & Materials Science
Experiments Engineering & Materials Science
Entropy Engineering & Materials Science

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Research Output 2012 2017

  • 12 Conference contribution
  • 7 Article
  • 2 Other report
  • 2 Chapter (peer-reviewed)

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R. 2017 International Conference on Learning Representations (ICLR).

Research output: ResearchConference contribution

Structured adaptive and random spinners for fast machine learning computations

Bojarski, M., Choromanska, A., Choromanski, K., Fagan, F., Gouy-Pailler, C., Morvan, A., Sakr, N., Sarlos, T. & Atif, J. 2017 International Conference on Articial Intelligence and Statistics (AISTATS).

Research output: ResearchConference contribution

Binary embeddings with structured hashed projections

Choromanska, A., Choromanski, K., Bojarski, M., Jebara, T., Kumar, S. & Lecun, Y. 2016 33rd International Conference on Machine Learning, ICML 2016. International Machine Learning Society (IMLS), Vol. 1, p. 539-554 16 p.

Research output: ResearchConference contribution

Random variables
Neural networks

Differentially-private learning of low dimensional manifolds

Choromanska, A., Choromanski, K., Jagannathan, G. & Monteleoni, C. Mar 21 2016 In : Theoretical Computer Science. 620, p. 91-104 14 p.

Research output: Research - peer-reviewArticle

Learning algorithms
Data structures
Random Projection

Deep learning with elastic averaging SGD

Zhang, S., Choromanska, A. & Lecun, Y. 2015 Advances in Neural Information Processing Systems. Neural information processing systems foundation, Vol. 2015-January, p. 685-693 9 p.

Research output: ResearchConference contribution

Deep learning
Image classification
Parallel processing systems