Andrew Francl

According to our database, Andrew Francl authored at least 4 papers between 2017 and 2021.

Collaborative distances:

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

2021

Do Neural Networks for Segmentation Understand Insideness?

Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix

Neural Comput., 2021

Speech Denoising with Auditory Models.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Deep Network Perceptual Losses for Speech Denoising.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

CoRR, 2020

2017

Learning to Learn Visual Object Categories by Integrating Deep Learning with Hierarchical Bayes.

Andres Campero, Andrew Francl, Joshua B. Tenenbaum

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017