Gautam Dasarathy 个人学术档案

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引用	1784	1455
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Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data Science在 wisc.edu 的电子邮件经过验证
Visar BerishaProfessor, College of Engineering and College of Health Solutions, Arizona State University在 asu.edu 的电子邮件经过验证
Kirthevasan KandasamyUniversity of Wisconsin-Madison在 cs.wisc.edu 的电子邮件经过验证
Barnabas PoczosAssociate professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice University在 rice.edu 的电子邮件经过验证
Jeff SchneiderCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Weizhi LiArizona State University在 asu.edu 的电子邮件经过验证
Brian ErikssonAdobe在 adobe.com 的电子邮件经过验证
Pavan TuragaGeometric Media Lab, Arizona State University在 asu.edu 的电子邮件经过验证
Lalitha SankarProfessor, School of Electrical, Computer and Energy Engineering, Arizona State University在 asu.edu 的电子邮件经过验证
Parikshit ShahMIT, University of Wisconsin-Madison, Facebook在 discovery.wisc.edu 的电子邮件经过验证
Badri Narayan BhaskarUber在 uber.com 的电子邮件经过验证
Junier OlivaAssistant Professor, University of North Carolina在 cs.unc.edu 的电子邮件经过验证
Mohit MaluSenSIP, Arizona State University在 asu.edu 的电子邮件经过验证
Sebastien RochProfessor of Mathematics, UW Madison在 math.wisc.edu 的电子邮件经过验证
Ali MousaviSenior Machine Learning Researcher, Apple在 apple.com 的电子邮件经过验证
Paul BarfordProfessor of Computer Science, University of Wisconsin - Madison在 cs.wisc.edu 的电子邮件经过验证
Anamitra PalAssociate Professor, Arizona State University在 asu.edu 的电子邮件经过验证
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Marcia K O'MalleyThomas Michael Panos Family Professor in Mechanical Engineering, Rice University在 rice.edu 的电子邮件经过验证

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Gautam Dasarathy

Assistant Professor, Electrical Engineering, Arizona State University

在 asu.edu 的电子邮件经过验证 - 首页

Machine Learning Statistics Signal Processing Networked Systems Information Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International conference on machine learning, 1799-1808, 2017	243	2017
Gaussian process bandit optimisation with multi-fidelity evaluations K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos Advances in neural information processing systems 29, 992-1000, 2016	186	2016
Digital medicine and the curse of dimensionality V Berisha, C Krantsevich, PR Hahn, S Hahn, G Dasarathy, P Turaga, ... NPJ digital medicine 4 (1), 153, 2021	175	2021
Deepcodec: Adaptive sensing and recovery via deep convolutional neural networks A Mousavi, G Dasarathy, RG Baraniuk arXiv preprint arXiv:1707.03386, 2017	96	2017
Multi-fidelity gaussian process bandit optimisation K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Poczos Journal of Artificial Intelligence Research 66, 151-196, 2019	93	2019
Sketching sparse matrices, covariances, and graphs via tensor products G Dasarathy, P Shah, BN Bhaskar, RD Nowak IEEE Transactions on Information Theory 61 (3), 1373-1388, 2015	87*	2015
Active clustering: Robust and efficient hierarchical clustering using adaptively selected similarities B Eriksson, G Dasarathy, A Singh, R Nowak Proceedings of the fourteenth international conference on artificial …, 2011	82	2011
Toward the practical use of network tomography for internet topology discovery B Eriksson, G Dasarathy, P Barford, R Nowak 2010 Proceedings IEEE INFOCOM, 1-9, 2010	65	2010
S2: An efficient graph based active learning algorithm with application to nonparametric classification G Dasarathy, R Nowak, X Zhu Conference on Learning Theory, 503-522, 2015	59	2015
Regularization via structural label smoothing W Li, G Dasarathy, V Berisha International Conference on Artificial Intelligence and Statistics, 1453-1463, 2020	55	2020
Efficient network tomography for internet topology discovery B Eriksson, G Dasarathy, P Barford, R Nowak IEEE/ACM Transactions on Networking 20 (3), 931-943, 2011	54	2011
Data requirement for phylogenetic inference from multiple loci: a new distance method G Dasarathy, R Nowak, S Roch IEEE/ACM transactions on computational biology and bioinformatics 12 (2 …, 2014	53	2014
State and topology estimation for unobservable distribution systems using deep neural networks B Azimian, RS Biswas, S Moshtagh, A Pal, L Tong, G Dasarathy IEEE transactions on instrumentation and measurement 71, 1-14, 2022	45	2022
Conveying language through haptics: A multi-sensory approach N Dunkelberger, J Sullivan, J Bradley, NP Walling, I Manickam, ... Proceedings of the 2018 ACM International Symposium on Wearable Computers, 25-32, 2018	43	2018
Mission: Ultra large-scale feature selection using count-sketches A Aghazadeh, R Spring, D LeJeune, G Dasarathy, A Shrivastava International conference on machine learning, 80-88, 2018	42	2018
Bayesian optimization in high-dimensional spaces: A brief survey M Malu, G Dasarathy, A Spanias 2021 12th International Conference on Information, Intelligence, Systems …, 2021	40	2021
A multisensory approach to present phonemes as language through a wearable haptic device N Dunkelberger, JL Sullivan, J Bradley, I Manickam, G Dasarathy, ... IEEE Transactions on Haptics 14 (1), 188-199, 2020	38	2020
The Multi-fidelity Multi-armed Bandit K Kandasamy, G Dasarathy, B Poczos, J Schneider Advances in Neural Information Processing Systems, 1777-1785, 2016	38	2016
Active learning algorithms for graphical model selection G Dasarathy, A Singh, MF Balcan, JH Park Artificial Intelligence and Statistics, 1356-1364, 2016	28	2016
A data-driven and distributed approach to sparse signal representation and recovery A Mousavi, G Dasarathy, RG Baraniuk International Conference on Learning Representations, 2018	27	2018

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