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Akshay Balsubramani
Akshay Balsubramani
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Verified email at akshay.bio - Homepage
Title
Cited by
Cited by
Year
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...
International conference on machine learning, 5637-5664, 2021
14612021
The human tumor atlas network: charting tumor transitions across space and time at single-cell resolution
O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ...
Cell 181 (2), 236-249, 2020
4412020
The fast convergence of incremental PCA
A Balsubramani, S Dasgupta, Y Freund
Advances in Neural Information Processing Systems (NIPS), 2013, 2013
1742013
A genome-wide atlas of co-essential modules assigns function to uncharacterized genes
M Wainberg, RA Kamber, A Balsubramani, RM Meyers, ...
Nature genetics 53 (5), 638-649, 2021
1402021
Semantically decomposing the latent spaces of generative adversarial networks
C Donahue, ZC Lipton, A Balsubramani, J McAuley
International Conference on Learning Representations (ICLR), 2018, 2018
1362018
Sequential nonparametric testing with the law of the iterated logarithm
A Balsubramani, A Ramdas
Uncertainty in Artificial Intelligence (UAI), 2016, 2016
882016
Sharp finite-time iterated-logarithm martingale concentration
A Balsubramani
arXiv preprint arXiv:1405.2639, 2014
522014
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease
M Ameen, L Sundaram, M Shen, A Banerjee, S Kundu, S Nair, ...
Cell 185 (26), 4937-4953. e23, 2022
502022
Optimally combining classifiers using unlabeled data
A Balsubramani, Y Freund
Conference on Learning Theory, 211-225, 2015
422015
An adaptive nearest neighbor rule for classification
A Balsubramani, S Dasgupta, Y Freund, S Moran
Advances in Neural Information Processing Systems 32, 2019
332019
Scalable semi-supervised classifier aggregation
A Balsubramani, Y Freund
Advances in Neural Information Processing Systems, 1351-1359, 2015
32*2015
Domain-adaptive neural networks improve cross-species prediction of transcription factor binding
K Cochran, D Srivastava, A Shrikumar, A Balsubramani, RC Hardison, ...
Genome research 32 (3), 512-523, 2022
242022
Instance-dependent regret bounds for dueling bandits
A Balsubramani, Z Karnin, RE Schapire, M Zoghi
Conference on Learning Theory, 336-360, 2016
242016
CodonBERT large language model for mRNA vaccines
S Li, S Moayedpour, R Li, M Bailey, S Riahi, L Kogler-Anele, M Miladi, ...
Genome research 34 (7), 1027-1035, 2024
23*2024
Learning transport cost from subset correspondence
R Liu, A Balsubramani, J Zou
arXiv preprint arXiv:1909.13203, 2019
182019
Transcription factor stoichiometry, motif affinity and syntax regulate single-cell chromatin dynamics during fibroblast reprogramming to pluripotency
S Nair, M Ameen, L Sundaram, A Pampari, J Schreiber, A Balsubramani, ...
bioRxiv, 2023
132023
Accelerating in silico saturation mutagenesis using compressed sensing
J Schreiber, S Nair, A Balsubramani, A Kundaje
Bioinformatics 38 (14), 3557-3564, 2022
122022
Optimal binary classifier aggregation for general losses
A Balsubramani, YS Freund
Advances in Neural Information Processing Systems 29, 2016
12*2016
Learning to abstain from binary prediction
A Balsubramani
arXiv preprint arXiv:1602.08151, 2016
112016
PAC-Bayes iterated logarithm bounds for martingale mixtures
A Balsubramani
arXiv preprint arXiv:1506.06573, 2015
42015
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Articles 1–20