Ratner A - Search Results

1

Publisher Correction: Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex.

Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME. Hrvatin S, et al. Among authors: ratner a. Nat Neurosci. 2018 Jul;21(7):1017. doi: 10.1038/s41593-018-0112-6. Nat Neurosci. 2018. PMID: 29752482

2

Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex.

Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME. Hrvatin S, et al. Among authors: ratner a. Nat Neurosci. 2018 Jan;21(1):120-129. doi: 10.1038/s41593-017-0029-5. Epub 2017 Dec 11. Nat Neurosci. 2018. PMID: 29230054 Free PMC article.

3

Transcriptomic landscape of the blastema niche in regenerating adult axolotl limbs at single-cell resolution.

Leigh ND, Dunlap GS, Johnson K, Mariano R, Oshiro R, Wong AY, Bryant DM, Miller BM, Ratner A, Chen A, Ye WW, Haas BJ, Whited JL. Leigh ND, et al. Among authors: ratner a. Nat Commun. 2018 Dec 4;9(1):5153. doi: 10.1038/s41467-018-07604-0. Nat Commun. 2018. PMID: 30514844 Free PMC article.

4

A machine-compiled database of genome-wide association studies.

Kuleshov V, Ding J, Vo C, Hancock B, Ratner A, Li Y, Ré C, Batzoglou S, Snyder M. Kuleshov V, et al. Among authors: ratner a. Nat Commun. 2019 Jul 26;10(1):3341. doi: 10.1038/s41467-019-11026-x. Nat Commun. 2019. PMID: 31350405 Free PMC article.

5

Snorkel MeTaL: Weak Supervision for Multi-Task Learning.

Ratner A, Hancock B, Dunnmon J, Goldman R, Ré C. Ratner A, et al. Proc Second Workshop Data Manag End End Mach Learn (2018). 2018 Jun;2018:3. doi: 10.1145/3209889.3209898. Proc Second Workshop Data Manag End End Mach Learn (2018). 2018. PMID: 30931438 Free PMC article.

6

Training Complex Models with Multi-Task Weak Supervision.

Ratner A, Hancock B, Dunnmon J, Sala F, Pandey S, Ré C. Ratner A, et al. Proc AAAI Conf Artif Intell. 2019 Jan-Feb;33:4763-4771. doi: 10.1609/aaai.v33i01.33014763. Proc AAAI Conf Artif Intell. 2019. PMID: 31565535 Free PMC article.

7

Snorkel: Rapid Training Data Creation with Weak Supervision.

Ratner A, Bach SH, Ehrenberg H, Fries J, Wu S, Ré C. Ratner A, et al. Proceedings VLDB Endowment. 2017 Nov;11(3):269-282. doi: 10.14778/3157794.3157797. Proceedings VLDB Endowment. 2017. PMID: 29770249 Free PMC article.

8

Learning the Structure of Generative Models without Labeled Data.

Bach SH, He B, Ratner A, Ré C. Bach SH, et al. Among authors: ratner a. Proc Mach Learn Res. 2017 Aug;70:273-82. Proc Mach Learn Res. 2017. PMID: 30882087 Free PMC article.

9

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices.

Chen VS, Wu S, Weng Z, Ratner A, Ré C. Chen VS, et al. Among authors: ratner a. Adv Neural Inf Process Syst. 2019 Dec;32:9392-9402. Adv Neural Inf Process Syst. 2019. PMID: 31871391 Free PMC article.

10

DeepDive: Declarative Knowledge Base Construction.

De Sa C, Ratner A, Ré C, Shin J, Wang F, Wu S, Zhang C. De Sa C, et al. Among authors: ratner a. SIGMOD Rec. 2016 Mar;45(1):60-67. Epub 2016 Feb 6. SIGMOD Rec. 2016. PMID: 28344371 Free PMC article.

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