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John Berkowitz
John Berkowitz
Other namesJack Berkowitz
Verified email at apple.com
Title
Cited by
Cited by
Year
A critical review of recurrent neural networks for sequence learning
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
41042015
A critical review of recurrent neural networks for sequence learning. arXiv 2015
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019 1506, 2015
3032015
A critical review of recurrent neural networks for sequence learning
CL Zachary, B John, E Charles
arXiv preprint arXiv:1506.00019, 2015
492015
A critical review of recurrent neural networks for sequence learning. CoRR abs/1506.00019 (2015)
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
372015
Linking neural responses to behavior with information-preserving population vectors
TO Sharpee, JA Berkowitz
Current Opinion in Behavioral Sciences 29, 37-44, 2019
172019
A critical review of recurrent neural networks for sequence learning. CoRR (2015)
ZC Lipton, J Berkowitz, C Elkan
12
A Critical Review of Recurrent Neural Networks for Sequential Learning, 2015
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 0
11
A Critical Review of Recurrent Neural Networks for Sequence Learning. arXiv. 2015 doi: 10.48550
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv.1506.00019 1506, 0
11
A critical review of recurrent neural networks for sequence learning. arXiv e-prints
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
82015
Quantifying information conveyed by large neuronal populations
JA Berkowitz, TO Sharpee
Neural computation 31 (6), 1015-1047, 2019
62019
A critical review of recurrent neural networks for sequence learning. 2015; 1–38
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
62015
Less is more: A unified architecture for device-directed speech detection with multiple invocation types
O Rudovic, W Chang, V Garg, P Dighe, P Simha, J Berkowitz, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
Decoding neural responses with minimal information loss
JA Berkowitz, TO Sharpee
BioRxiv, 273854, 2018
52018
Streaming anchor loss: Augmenting supervision with temporal significance
UO Sarawgi, J Berkowitz, V Garg, A Kundu, M Cho, SS Buddi, S Adya, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Streaming Anchor Loss: Augmenting Supervision with Temporal Significance
U Oggy Sarawgi, J Berkowitz, V Garg, A Kundu, M Cho, S Srujana Buddi, ...
arXiv e-prints, arXiv: 2310.05886, 2023
2023
Characterizing and quantifying information conveyed by large neuronal populations
J Berkowitz
UC San Diego, 2019
2019
Critical behavior of large maximally informative neural populations
J Berkowitz, T Sharpee
Bulletin of the American Physical Society 61, 2016
2016
Critical Phenomena in Population Coding
J Berkowitz, T Sharpee
Bulletin of the American Physical Society 59, 2014
2014
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Articles 1–18