Evan Archer

Affiliations:
  • University of Texas at Austin, Division of Statistics & Scientific Computation


According to our database1, Evan Archer authored at least 11 papers between 2012 and 2022.

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

Timeline

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Bibliography

2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Variational Inference for Super Resolution Microscopy.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Linear dynamical neural population models through nonlinear embeddings.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014
Bayesian entropy estimation for countable discrete distributions.
J. Mach. Learn. Res., 2014

Low-dimensional models of neural population activity in sensory cortical circuits.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data.
Entropy, 2013

Spectral methods for neural characterization using generalized quadratic models.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Universal models for binary spike patterns using centered Dirichlet processes.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bayesian entropy estimation for binary spike train data using parametric prior knowledge.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012


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