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Aadyot Bhatnagar
Aadyot Bhatnagar
Machine Learning Scientist, Profluent Bio
Verified email at profluent.bio
Title
Cited by
Cited by
Year
Mapping the microscale origins of magnetic resonance image contrast with subcellular diamond magnetometry
HC Davis, P Ramesh, A Bhatnagar, A Lee-Gosselin, JF Barry, DR Glenn, ...
Nature communications 9 (1), 131, 2018
1962018
Improved online conformal prediction via strongly adaptive online learning
A Bhatnagar, H Wang, C Xiong, Y Bai
International Conference on Machine Learning, 2337-2363, 2023
602023
An investigation of phone-based subword units for end-to-end speech recognition
W Wang, G Wang, A Bhatnagar, Y Zhou, C Xiong, R Socher
arXiv preprint arXiv:2004.04290, 2020
482020
Learning to search via retrospective imitation
J Song, R Lanka, A Zhao, A Bhatnagar, Y Yue, M Ono
arXiv preprint arXiv:1804.00846, 2018
412018
Merlion: End-to-End Machine Learning for Time Series
A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ...
Journal of Machine Learning Research 24 (226), 1-6, 2023
35*2023
Towards joint sequence-structure generation of nucleic acid and protein complexes with SE (3)-discrete diffusion
A Morehead, J Ruffolo, A Bhatnagar, A Madani
arXiv preprint arXiv:2401.06151, 2023
342023
Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences
JA Ruffolo, S Nayfach, J Gallagher, A Bhatnagar, J Beazer, R Hussain, ...
BioRxiv, 2024.04. 22.590591, 2024
312024
Local calibration: metrics and recalibration
R Luo, A Bhatnagar, Y Bai, S Zhao, H Wang, C Xiong, S Savarese, ...
Uncertainty in Artificial Intelligence, 1286-1295, 2022
202022
Mapping the microscale origins of MRI contrast with subcellular NV diamond magnetometry
HC Davis, P Ramesh, A Bhatnagar, A Lee-Gosselin, JF Barry, DR Glenn, ...
arXiv preprint arXiv:1610.01924, 2016
102016
Adapting protein language models for structure-conditioned design
JA Ruffolo, A Bhatnagar, J Beazer, S Nayfach, J Russ, E Hill, R Hussain, ...
BioRxiv, 2024.08. 03.606485, 2024
62024
Design of highly functional genome editors by modeling the universe of crispr‐cas sequences. bioRxiv. 2024
JA Ruffolo, S Nayfach, J Gallagher, A Bhatnagar, J Beazer, R Hussain, ...
Google Scholar, 2024
62024
Design of highly functional genome editors by modeling the universe of crispr-cas sequences. bioRxiv
JA Ruffolo, S Nayfach, J Gallagher, A Bhatnagar, J Beazer, R Hussain, ...
Published online, 2024
52024
Mapping the microscale origins of magnetic resonance image contrast with subcellular diamond
HC Davis, P Ramesh, A Bhatnagar, A Lee-Gosselin, JF Barry, DR Glenn, ...
Nat. Commun 9, 1-9, 2018
52018
Conditional enzyme generation using protein language models with adapters
J Yang, A Bhatnagar, JA Ruffolo, A Madani
arXiv preprint arXiv:2410.03634, 2024
32024
Voting Rules that are Unbiased but not Transitive-Symmetric
A Bhatnagar
Electronic Journal of Combinatorics 27 (1), 2020
32020
Engineering of CRISPR-Cas PAM recognition using deep learning of vast evolutionary data
S Nayfach, A Bhatnagar, A Novichkov, GO Estevam, N Kim, E Hill, ...
bioRxiv, 2025.01. 06.631536, 2025
2025
Nucleases and compositions, systems, and methods thereof
A Madani, JA Ruffolo, S Nayfach, A Bhatnagar, J Beazer
US Patent 12,123,016, 2024
2024
Language Models Generate Novel Genome Editors from Scratch
JA Ruffolo, S Nayfach, A Bhatnagar, J Gallagher, J Beazer, J Yip, ...
MOLECULAR THERAPY 32 (4), 8-8, 2024
2024
Online language model interpolation for automatic speech recognition
Z Al Bawab, AU Desai, S Chang, AK Agarwal, Z Romocsa, V Miljanic, ...
US Patent 11,562,738, 2023
2023
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
D Arpit, A Bhatnagar, H Wang, C Xiong
arXiv preprint arXiv:2110.10303, 2021
2021
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