Bryan He
Bryan He
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Cited by
Cited by
The Diversity–Innovation Paradox in Science
B Hofstra, VV Kulkarni, SMN Galvez, B He, D Jurafsky, DA McFarland
Proceedings of the National Academy of Sciences 117 (17), 9284-9291, 2020
Learning the structure of generative models without labeled data
SH Bach, B He, A Ratner, C Ré
International Conference on Machine Learning (ICML), 2017
Accelerated stochastic power iteration
C De Sa, B He, I Mitliagkas, C Ré, P Xu
Proceedings of machine learning research 84, 58, 2018
Deep learning interpretation of echocardiograms
A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ...
NPJ digital medicine 3 (1), 1-10, 2020
Socratic learning: Augmenting generative models to incorporate latent subsets in training data
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
Inferring generative model structure with static analysis
P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré
Advances in neural information processing systems, 240-250, 2017
Dynamic analysis of naive adaptive brain-machine interfaces
KC Kowalski, BD He, L Srinivasan
Neural Computation 25 (9), 2373-2420, 2013
Video-based AI for beat-to-beat assessment of cardiac function
D Ouyang, B He, A Ghorbani, N Yuan, J Ebinger, CP Langlotz, ...
Nature 580 (7802), 252-256, 2020
Scan order in Gibbs sampling: Models in which it matters and bounds on how much
BD He, CM De Sa, I Mitliagkas, C Ré
Advances in neural information processing systems, 1-9, 2016
A simple optimal binary representation of mosaic floorplans and Baxter permutations
Theoretical Computer Science 532, 40-50, 2014
Integrating spatial gene expression and breast tumour morphology via deep learning
B He, L Bergenstrĺhle, L Stenbeck, A Abid, A Andersson, Ĺ Borg, ...
Nature biomedical engineering, 1-8, 2020
Signal quality of endovascular electroencephalography
BD He, M Ebrahimi, L Palafox, L Srinivasan
Journal of neural engineering 13 (1), 016016, 2016
Generalized analog thresholding for spike acquisition at ultralow sampling rates
BD He, A Wein, LR Varshney, J Kusuma, AG Richardson, L Srinivasan
Journal of neurophysiology 114 (1), 746-760, 2015
Neural shaping with joint optimization of controller and plant under restricted dynamics
BD He, L Srinivasan
2014 Information Theory and Applications Workshop (ITA), 1-6, 2014
The Diversity-Innovation Paradox in Science
B Hofstra, VV Kulkarni, SMN Galvez, B He, D Jurafsky, DA McFarland
arXiv preprint arXiv:1909.02063, 2019
Interpretable AI for beat-to-beat cardiac function assessment
D Ouyang, B He, A Ghorbani, C Langlotz, PA Heidenreich, RA Harrington, ...
medRxiv, 19012419, 2019
Smooth interactive submodular set cover
BD He, Y Yue
Advances in Neural Information Processing Systems, 118-126, 2015
Feasibility of FRI-Based Square-Wave Reconstruction with Quantization Error and Integrator Noise
B He, A Wein, L Srinivasan
ICASSP, 2015
EchoNet-Dynamic: a Large New Cardiac Motion Video Data Resource for Medical Machine Learning
D Ouyang, B He, A Ghorbani, MP Lungren, EA Ashley, DH Liang, JY Zou
Super-resolved spatial transcriptomics by deep data fusion
L Bergenstrĺhle, B He, J Bergenstrĺhle, A Andersson, J Lundeberg, J Zou, ...
bioRxiv, 2020
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