Search Results for author: Christopher Snyder

Found 4 papers, 1 papers with code

Interpretable Factorization for Neural Network ECG Models

no code implementations26 Jun 2020 Christopher Snyder, Sriram Vishwanath

A generalizable impact beyond ECGs lies in the ability to provide a rich test-bed for the development of interpretive techniques in medicine.

Deep Networks as Logical Circuits: Generalization and Interpretation

no code implementations25 Mar 2020 Christopher Snyder, Sriram Vishwanath

We improve the generalization of an already trained network by interpreting, diagnosing, and replacing components the logical circuit that is the DNN.

Generalization Bounds

Sample Compression, Support Vectors, and Generalization in Deep Learning

no code implementations5 Nov 2018 Christopher Snyder, Sriram Vishwanath

The paper shows that the number of support vectors s relates with learning guarantees for neural networks through sample compression bounds, yielding a sample complexity of O(ns/epsilon) for networks with n neurons.

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

2 code implementations ICLR 2018 Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath

We show that adversarial training can be used to learn a generative model with true observational and interventional distributions if the generator architecture is consistent with the given causal graph.

Face Generation

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