Ankit B. Patel

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Citazioni	3946	2406
Indice H	24	21
i10-index	32	30

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Radhika NagpalHarvard UniversityEmail verificata su eecs.harvard.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityEmail verificata su rice.edu
Weili NieNVIDIA ResearchEmail verificata su nvidia.com
Julius DegesysHarvard UniversityEmail verificata su eecs.harvard.edu
Matthew GibsonInvestigator, Stowers Institute for Medical ResearchEmail verificata su stowers.org
Anima AnandkumarCalifornia Institute of Technology and NVIDIAEmail verificata su caltech.edu
Ian RoseWattchEmail verificata su wattch.io
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandEmail verificata su cs.umd.edu
Ali MousaviMicrosoftEmail verificata su microsoft.com
Matt WelshEmail verificata su mdw.la
Gavin TaylorUS Naval AcademyEmail verificata su usna.edu
Nina NarodytskaVMware ResearchEmail verificata su vmware.com
Wen-Jun HuSDSAEmail verificata su samsung.com
W. Tyler GibsonPostdoctoral scientist at California Institute of Technology (Caltech)Email verificata su caltech.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Huaijin ChenAssistant Professor of Computer Science, University of Hawaii ManoaEmail verificata su hawaii.edu
Ashok VeeraraghavanProfessor, ECE, Rice UniversityEmail verificata su rice.edu
Nhat HoProfessor at University of Texas, AustinEmail verificata su utexas.edu
Ethan PerezAnthropic; New York UniversityEmail verificata su anthropic.com

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Ankit B. Patel

Assistant Professor, Baylor College of Medicine, Rice University

Email verificata su rice.edu - Home page

AI for Science & Medicine Deep Machine Learning Computational Neuroscience Biologically Inspired Computing Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A deep learning approach to structured signal recovery A Mousavi, AB Patel, RG Baraniuk 2015 53rd annual allerton conference on communication, control, and …, 2015	553	2015
The emergence of geometric order in proliferating metazoan epithelia MC Gibson, AB Patel, R Nagpal, N Perrimon Nature 442 (7106), 1038-1041, 2006	519	2006
Firefly-inspired sensor network synchronicity with realistic radio effects G Werner-Allen, G Tewari, A Patel, M Welsh, R Nagpal Proceedings of the 3rd international conference on Embedded networked sensor …, 2005	492	2005
DESYNC: Self-organizing desynchronization and TDMA on wireless sensor networks J Degesys, I Rose, A Patel, R Nagpal Proceedings of the 6th international conference on Information processing in …, 2007	325	2007
Training neural networks without gradients: A scalable admm approach G Taylor, R Burmeister, Z Xu, B Singh, A Patel, T Goldstein International conference on machine learning, 2722-2731, 2016	322	2016
Relgan: Relational generative adversarial networks for text generation W Nie, N Narodytska, A Patel International conference on learning representations, 2018	241	2018
A theoretical explanation for perplexing behaviors of backpropagation-based visualizations W Nie, Y Zhang, A Patel International conference on machine learning, 3809-3818, 2018	175	2018
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19 S Subudhi, A Verma, AB Patel, CC Hardin, MJ Khandekar, H Lee, ... NPJ digital medicine 4 (1), 87, 2021	138	2021
Automated compilation of probabilistic task description into executable neural network specification AB Patel, RG Baraniuk US Patent 10,846,589, 2020	106	2020
A Probabilistic Theory of Deep Learning AB Patel, T Nguyen, RG Baraniuk http://xxx.tau.ac.il/abs/1504.00641, 2015	102	2015
Desynchronization: The theory of self-organizing algorithms for round-robin scheduling A Patel, J Degesys, R Nagpal First International Conference on Self-Adaptive and Self-Organizing Systems …, 2007	93	2007
A probabilistic framework for deep learning AB Patel, MT Nguyen, R Baraniuk Advances in neural information processing systems 29, 2016	88	2016
Semi-supervised stylegan for disentanglement learning W Nie, T Karras, A Garg, S Debnath, A Patney, A Patel, A Anandkumar International Conference on Machine Learning, 7360-7369, 2020	80	2020
Modeling and inferring cleavage patterns in proliferating epithelia AB Patel, WT Gibson, MC Gibson, R Nagpal PLoS computational biology 5 (6), e1000412, 2009	70	2009
Bongard-logo: A new benchmark for human-level concept learning and reasoning W Nie, Z Yu, L Mao, AB Patel, Y Zhu, A Anandkumar Advances in Neural Information Processing Systems 33, 16468-16480, 2020	67	2020
Reported sleep patterns in obsessive compulsive disorder (OCD) M Bobdey, N Fineberg, TM Gale, A Patel, HA Davies International Journal of Psychiatry in Clinical Practice 6 (1), 15-21, 2002	53	2002
Towards a better understanding and regularization of GAN training dynamics W Nie, AB Patel Uncertainty in Artificial Intelligence, 281-291, 2020	52	2020
Epithelial topology R Nagpal, A Patel, MC Gibson BioEssays 30 (3), 260-266, 2008	51	2008
Deep learning-enhanced variational Monte Carlo method for quantum many-body physics L Yang, Z Leng, G Yu, A Patel, WJ Hu, H Pu Physical Review Research 2 (1), 012039, 2020	40	2020
Evaluating the performance of StyleGAN2-ADA on medical images MK Woodland, J Wood, BM Anderson, S Kundu, E Lin, E Koay, B Odisio, ... International Workshop on Simulation and Synthesis in Medical Imaging, 142-153, 2022	32	2022

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