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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- Balaji Lakshminarayanan, A. Pritzel, C. Blundell
- Computer ScienceNIPS
- 5 December 2016
TLDR
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
- Dan Hendrycks, Norman Mu, E. D. Cubuk, Barret Zoph, J. Gilmer, Balaji Lakshminarayanan
- Computer ScienceICLR
- 5 December 2019
TLDR
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
- Yaniv Ovadia, Emily Fertig, Jasper Snoek
- Computer ScienceNeurIPS
- 6 June 2019
TLDR
Do Deep Generative Models Know What They Don't Know?
- Eric T. Nalisnick, Akihiro Matsukawa, Y. Teh, Dilan Görür, Balaji Lakshminarayanan
- Computer ScienceICLR
- 27 September 2018
TLDR
Normalizing Flows for Probabilistic Modeling and Inference
- G. Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, S. Mohamed, Balaji Lakshminarayanan
- Computer ScienceJ. Mach. Learn. Res.
- 5 December 2019
TLDR
The Cramer Distance as a Solution to Biased Wasserstein Gradients
- Marc G. Bellemare, Ivo Danihelka, R. Munos
- Computer ScienceArXiv
- 30 May 2017
TLDR
Likelihood Ratios for Out-of-Distribution Detection
- J. Ren, Peter J. Liu, Balaji Lakshminarayanan
- Computer ScienceNeurIPS
- 7 June 2019
TLDR
Mondrian Forests: Efficient Online Random Forests
- Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
- Computer ScienceNIPS
- 10 June 2014
TLDR
Deep Ensembles: A Loss Landscape Perspective
- Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan
- Computer ScienceArXiv
- 25 September 2019
TLDR
Variational Approaches for Auto-Encoding Generative Adversarial Networks
- Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, S. Mohamed
- Computer ScienceArXiv
- 15 June 2017
TLDR
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