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Anuroop Sriram
Anuroop Sriram
Meta FAIR
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Cited by
Cited by
Year
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
35662016
fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ...
arXiv preprint arXiv:1811.08839, 2018
7372018
Open catalyst 2020 (OC20) dataset and community challenges
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
Acs Catalysis 11 (10), 6059-6072, 2021
3782021
Mls: A large-scale multilingual dataset for speech research
V Pratap, Q Xu, A Sriram, G Synnaeve, R Collobert
arXiv preprint arXiv:2012.03411, 2020
3372020
Cold fusion: Training seq2seq models together with language models
A Sriram, H Jun, S Satheesh, A Coates
arXiv preprint arXiv:1708.06426, 2017
3282017
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology. Artificial intelligence 2 (1), 2020
2942020
End-to-end asr: from supervised to semi-supervised learning with modern architectures
G Synnaeve, Q Xu, J Kahn, T Likhomanenko, E Grave, V Pratap, A Sriram, ...
arXiv preprint arXiv:1911.08460, 2019
2472019
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
2432017
End-to-end variational networks for accelerated MRI reconstruction
A Sriram, J Zbontar, T Murrell, A Defazio, CL Zitnick, N Yakubova, F Knoll, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
2382020
FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations
JJ Grefenstette, ST Brown, R Rosenfeld, J DePasse, NTB Stone, ...
BMC public health 13, 1-14, 2013
2212013
Robust wav2vec 2.0: Analyzing domain shift in self-supervised pre-training
WN Hsu, A Sriram, A Baevski, T Likhomanenko, Q Xu, V Pratap, J Kahn, ...
arXiv preprint arXiv:2104.01027, 2021
2082021
Results of the 2020 fastMRI challenge for machine learning MR image reconstruction
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
IEEE transactions on medical imaging 40 (9), 2306-2317, 2021
1932021
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ...
Magnetic resonance in medicine 84 (6), 3054-3070, 2020
1842020
Massively multilingual ASR: 50 languages, 1 model, 1 billion parameters
V Pratap, A Sriram, P Tomasello, A Hannun, V Liptchinsky, G Synnaeve, ...
arXiv preprint arXiv:2007.03001, 2020
1342020
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study
MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ...
American Journal of Roentgenology 215 (6), 1421-1429, 2020
1232020
GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction
A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
962020
Robust speech recognition using generative adversarial networks
A Sriram, H Jun, Y Gaur, S Satheesh
2018 IEEE international conference on acoustics, speech and signal …, 2018
682018
The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts
R Tran, J Lan, M Shuaibi, BM Wood, S Goyal, A Das, J Heras-Domingo, ...
ACS Catalysis 13 (5), 3066-3084, 2023
672023
An introduction to electrocatalyst design using machine learning for renewable energy storage
CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ...
arXiv preprint arXiv:2010.09435, 2020
672020
Classification and retrieval of digital pathology scans: A new dataset
M Babaie, S Kalra, A Sriram, C Mitcheltree, S Zhu, A Khatami, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
662017
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