Michael Figurnov

According to our database1, Michael Figurnov authored at least 10 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Tensor Train Decomposition on TensorFlow (T3F).
J. Mach. Learn. Res., 2020

2019
Monte Carlo Gradient Estimation in Machine Learning.
CoRR, 2019

Variational Autoencoder with Arbitrary Conditioning.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Universal Conditional Machine.
CoRR, 2018

Implicit Reparameterization Gradients.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Probabilistic Adaptive Computation Time.
CoRR, 2017

Spatially Adaptive Computation Time for Residual Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Robust Variational Inference.
CoRR, 2016

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.
CoRR, 2015


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