Ankit B. Patel
Cited by
Cited by
A deep learning approach to structured signal recovery
A Mousavi, AB Patel, RG Baraniuk
2015 53rd annual allerton conference on communication, control, and …, 2015
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
The emergence of geometric order in proliferating metazoan epithelia
MC Gibson, AB Patel, R Nagpal, N Perrimon
Nature 442 (7106), 1038-1041, 2006
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
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
Relgan: Relational generative adversarial networks for text generation
W Nie, N Narodytska, A Patel
International conference on learning representations, 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
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
A Probabilistic Theory of Deep Learning
AB Patel, T Nguyen, RG Baraniuk, 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
A probabilistic framework for deep learning
AB Patel, MT Nguyen, R Baraniuk
Advances in neural information processing systems 29, 2016
Automated compilation of probabilistic task description into executable neural network specification
AB Patel, RG Baraniuk
US Patent 10,846,589, 2020
Modeling and inferring cleavage patterns in proliferating epithelia
AB Patel, WT Gibson, MC Gibson, R Nagpal
PLoS computational biology 5 (6), e1000412, 2009
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
Epithelial topology
R Nagpal, A Patel, MC Gibson
BioEssays 30 (3), 260-266, 2008
Towards a better understanding and regularization of GAN training dynamics
W Nie, AB Patel
Uncertainty in Artificial Intelligence, 281-291, 2020
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
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
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
Adversarial attacks on machine learning systems for high-frequency trading
M Goldblum, A Schwarzschild, A Patel, T Goldstein
Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021
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