Akshay Balsubramani

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	Tutte	Dal 2020
Citazioni	2988	2721
Indice H	16	16
i10-index	19	17

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Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Yoav FreundUCSDEmail verificata su ucsd.edu
Chelsea FinnStanford University, Physical IntelligenceEmail verificata su cs.stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Sergey LevineUC Berkeley, Physical IntelligenceEmail verificata su eecs.berkeley.edu
Emma PiersonUniversity of California, BerkeleyEmail verificata su berkeley.edu
Sara BeeryAssistant Professor at MIT CSAILEmail verificata su mit.edu
Michihiro YasunagaStanford University; MetaEmail verificata su stanford.edu
Sang Michael XieMeta GenAIEmail verificata su cs.stanford.edu
Richard Lanas PhillipsPhD Student, Cornell UniversityEmail verificata su cornell.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Marvin ZhangUC BerkeleyEmail verificata su eecs.berkeley.edu
Pang Wei KohUniversity of WashingtonEmail verificata su cs.washington.edu
Shiori SagawaPhD Student, Stanford UniversityEmail verificata su stanford.edu
Imran S HaqueRecursion PharmaceuticalsEmail verificata su cs.stanford.edu
Ian StavnessProfessor, Computer Science, University of SaskatchewanEmail verificata su cs.usask.ca
Wei GuoUniversity of Massachusetts LowellEmail verificata su uml.edu
Etienne DavidResearch Engineer, Institut National de Recherche Agronomique; ArvalisEmail verificata su inra.fr
Weihua HuStanfordEmail verificata su stanford.edu
Tony LeeStanford UniversityEmail verificata su stanford.edu

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Akshay Balsubramani

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Email verificata su akshay.bio - Home page

machine learning genomics drug discovery


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1568	2021
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	464	2020
The fast convergence of incremental PCA A Balsubramani, S Dasgupta, Y Freund Advances in Neural Information Processing Systems (NIPS), 2013, 2013	176	2013
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	150	2021
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	136	2018
Sequential nonparametric testing with the law of the iterated logarithm A Balsubramani, A Ramdas Uncertainty in Artificial Intelligence (UAI), 2016, 2016	90	2016
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	61	2022
Sharp finite-time iterated-logarithm martingale concentration A Balsubramani arXiv preprint arXiv:1405.2639, 2014	54	2014
Optimally combining classifiers using unlabeled data A Balsubramani, Y Freund Conference on Learning Theory, 211-225, 2015	42	2015
An adaptive nearest neighbor rule for classification A Balsubramani, S Dasgupta, Y Freund, S Moran Advances in Neural Information Processing Systems 32, 2019	36	2019
Scalable semi-supervised classifier aggregation A Balsubramani, Y Freund Advances in Neural Information Processing Systems, 1351-1359, 2015	32*	2015
Codonbert: Large language models for mrna design and optimization S Li, S Moayedpour, R Li, M Bailey, S Riahi, L Kogler-Anele, M Miladi, ... bioRxiv, 2023.09. 09.556981, 2023	26	2023
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	25	2022
Instance-dependent regret bounds for dueling bandits A Balsubramani, Z Karnin, RE Schapire, M Zoghi Conference on Learning Theory, 336-360, 2016	25	2016
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	20	2023
Learning transport cost from subset correspondence R Liu, A Balsubramani, J Zou arXiv preprint arXiv:1909.13203, 2019	20	2019
Accelerating in silico saturation mutagenesis using compressed sensing J Schreiber, S Nair, A Balsubramani, A Kundaje Bioinformatics 38 (14), 3557-3564, 2022	13	2022
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	11	2016
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	8	2024

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