Follow
Ankit B. Patel
Title
Cited by
Cited by
Year
A deep learning approach to structured signal recovery
A Mousavi, AB Patel, RG Baraniuk
2015 53rd annual allerton conference on communication, control, and …, 2015
5092015
The emergence of geometric order in proliferating metazoan epithelia
MC Gibson, AB Patel, R Nagpal, N Perrimon
Nature 442 (7106), 1038-1041, 2006
4962006
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
4892005
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
3272007
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
3042016
Relgan: Relational generative adversarial networks for text generation
W Nie, N Narodytska, A Patel
International conference on learning representations, 2018
2152018
A theoretical explanation for perplexing behaviors of backpropagation-based visualizations
W Nie, Y Zhang, A Patel
International conference on machine learning, 3809-3818, 2018
1602018
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
1202021
Automated compilation of probabilistic task description into executable neural network specification
AB Patel, RG Baraniuk
US Patent 10,846,589, 2020
982020
A Probabilistic Theory of Deep Learning
AB Patel, T Nguyen, RG Baraniuk
http://xxx.tau.ac.il/abs/1504.00641, 2015
972015
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
932007
A probabilistic framework for deep learning
AB Patel, MT Nguyen, R Baraniuk
Advances in neural information processing systems 29, 2016
872016
Semi-supervised stylegan for disentanglement learning
W Nie, T Karras, A Garg, S Debnath, A Patney, AB Patel, A Anandkumar
Proceedings of the 37th International Conference on Machine Learning, 7360-7369, 2020
732020
Modeling and inferring cleavage patterns in proliferating epithelia
AB Patel, WT Gibson, MC Gibson, R Nagpal
PLoS computational biology 5 (6), e1000412, 2009
712009
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
512020
Epithelial topology
R Nagpal, A Patel, MC Gibson
BioEssays 30 (3), 260-266, 2008
502008
Towards a better understanding and regularization of GAN training dynamics
W Nie, AB Patel
Uncertainty in Artificial Intelligence, 281-291, 2020
472020
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
452020
Human ureteric bud organoids recapitulate branching morphogenesis and differentiate into functional collecting duct cell types
M Shi, KW McCracken, AB Patel, W Zhang, L Ester, MT Valerius, ...
Nature biotechnology 41 (2), 252-261, 2023
322023
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systems
R Pyle, N Jovanovic, D Subramanian, KV Palem, AB Patel
Philosophical Transactions of the Royal Society A 379 (2194), 20200246, 2021
222021
The system can't perform the operation now. Try again later.
Articles 1–20