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Christopher Snyder

4 papers hereh-index 2317 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedCausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

73 citations · 73 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020

Interpretable Factorization for Neural Network ECG Models

Christopher Snyder, Sriram Vishwanath

The ability of deep learning (DL) to improve the practice of medicine and its clinical outcomes faces a looming obstacle: model interpretation. Without description of how outputs a…

cs.LG2020

Deep Networks as Logical Circuits: Generalization and Interpretation

Christopher Snyder, Sriram Vishwanath

Not only are Deep Neural Networks (DNNs) black box models, but also we frequently conceptualize them as such. We lack good interpretations of the mechanisms linking inputs to outpu…

cs.LG2018

Sample Compression, Support Vectors, and Generalization in Deep Learning

Christopher Snyder, Sriram Vishwanath

Even though Deep Neural Networks (DNNs) are widely celebrated for their practical performance, they possess many intriguing properties related to depth that are difficult to explai…

cs.LG2017★ 73 cited

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis +1

We propose an adversarial training procedure for learning a causal implicit generative model for a given causal graph. We show that adversarial training can be used to learn a gene…

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