Balaji Lakshminarayanan
Balaji Lakshminarayanan
Staff Research Scientist at Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Simple and scalable predictive uncertainty estimation using deep ensembles
B Lakshminarayanan, A Pritzel, C Blundell
Advances in Neural Information Processing Systems, 6393-6395, 2017
14342017
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
9882018
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, JV Dillon, ...
arXiv preprint arXiv:1906.02530, 2019
2972019
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach
F Briggs, B Lakshminarayanan, L Neal, XZ Fern, R Raich, SJK Hadley, ...
The Journal of the Acoustical Society of America 131 (6), 4640-4650, 2012
2702012
Learning in Implicit Generative Models
S Mohamed, B Lakshminarayanan
arXiv preprint arXiv:1610.03483, 2016
2592016
Do Deep Generative Models Know What They Don't Know?
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
arXiv preprint arXiv:1810.09136, 2018
2312018
Normalizing Flows for Probabilistic Modeling and Inference
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...
Journal of Machine Learning Research 22 (57), 1-64, 2021
1942021
The Cramer Distance as a Solution to Biased Wasserstein Gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
1882017
Variational Approaches for Auto-Encoding Generative Adversarial Networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
1862017
Mondrian forests: Efficient online random forests
B Lakshminarayanan, DM Roy, YW Teh
Advances in neural information processing systems 27, 3140-3148, 2014
1802014
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
D Hendrycks, N Mu, ED Cubuk, B Zoph, J Gilmer, B Lakshminarayanan
arXiv preprint arXiv:1912.02781, 2019
1502019
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W Fedus, M Rosca, B Lakshminarayanan, AM Dai, S Mohamed, ...
ICLR 2018, 0
136*
Likelihood ratios for out-of-distribution detection
J Ren, PJ Liu, E Fertig, J Snoek, R Poplin, M Depristo, J Dillon, ...
Advances in Neural Information Processing Systems, 14707-14718, 2019
1312019
Deep Ensembles: A Loss Landscape Perspective
S Fort, H Hu, B Lakshminarayanan
arXiv preprint arXiv:1912.02757, 2019
732019
Robust Bayesian matrix factorisation
B Lakshminarayanan, G Bouchard, C Archambeau
Proc. Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), 2011
672011
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
L Hasenclever, S Webb, T Lienart, S Vollmer, B Lakshminarayanan, ...
Journal of Machine Learning Research 18 (106), 1-37, 2017
57*2017
Distribution Matching in Variational Inference
M Rosca, B Lakshminarayanan, S Mohamed
arXiv preprint arXiv:1802.06847, 2018
562018
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
I Danihelka, B Lakshminarayanan, B Uria, D Wierstra, P Dayan
arXiv preprint arXiv:1705.05263, 2017
562017
Distributed Bayesian Posterior Sampling via Moment Sharing
M Xu, B Lakshminarayanan, YW Teh, J Zhu, B Zhang
NIPS, 2014
562014
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
E Nalisnick, A Matsukawa, YW Teh, B Lakshminarayanan
arXiv preprint arXiv:1906.02994, 2019
532019
The system can't perform the operation now. Try again later.
Articles 1–20