Research output per year
Research output per year
Search results
-
2021
Charting and navigating the space of solutions for recurrent neural networks
Turner, E., Dabholkar, K. & Barak, O., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 25320-25333 14 p. (Advances in Neural Information Processing Systems; vol. 30).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Scopus citations -
2020
The interplay between randomness and structure during learning in RNNs
Schuessler, F., Mastrogiuseppe, F., Dubreuil, A., Ostojic, S. & Barak, O., 2020, Advances in Neural Information Processing Systems. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Vol. 33. p. 13352-13362 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2019
Understanding and controlling memory in recurrent neural networks
Haviv, D., Rivkind, A. & Barak, O., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 4733-4741 9 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations