1.8k citations · 2.1k across the 3 of their papers we have counts for
3 papers
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve
This paper presents a simple end-to-end model for speech recognition, combining a convolutional network based acoustic model and a graph decoding. It is trained to output letters,…
Learning Invariants using Decision Trees
Siddharth Krishna, Christian Puhrsch, Thomas Wies
The problem of inferring an inductive invariant for verifying program safety can be formulated in terms of binary classification. This is a standard problem in machine learning: gi…
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen, Christian Puhrsch, Rob Fergus
Predicting depth is an essential component in understanding the 3D geometry of a scene. While for stereo images local correspondence suffices for estimation, finding depth relation…