Emily Fertig

According to our database, Emily Fertig authored at least 7 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling.

Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automatic structured variational inference.

Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces.

Bryan Seybold, Emily Fertig, Alex Alemi, Ian Fischer

CoRR, 2019

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift.

Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Likelihood Ratios for Out-of-Distribution Detection.

Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

β-VAEs can retain label information even at high compression.

Emily Fertig, Aryan Arbabi, Alexander A. Alemi

CoRR, 2018

2012

Smart Integration of Variable and Intermittent Renewables.

Jay Apt, Emily Fertig, Warren Katzenstein

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012