Publications

Unpublished Manuscripts

Journal Publications

  1. Archer E*, Park IM*, Pillow JW (2014). Bayesian entropy estimation for countable discrete distributions. Journal of Machine Learning Research (JMLR), 15 (Oct): 2833-2868.
    (*=equal contribution)
    [bibtex|pdf|code]
  2. Archer E, Park IM, Pillow JW (2013). Bayesian and quasi-Bayesian estimators for mutual information from discrete data. Entropy, 15(5): 1738-1755.
    [bibtex|pdf|link]

Conference Publications

  1. Sun R, Archer E, Paninski L (2017). Scalable variational inference for super resolution microscopy. AISTATS 2017
    [arxiv]
  2. Gao Y*, Archer E*, Paninski L, Cunningham JP (2016). Linear dynamical neural population models through nonlinear embeddings. Advances in Neural Information Processing Systems (NIPS) 29.
    (acceptance rate: 22%)
    (*=equal contribution)
    [arxiv]
  3. Archer E, Köster U, Pillow JW, Macke JW (2014). Low-dimensional models of neural population activity in sensory cortical circuits. Advances in Neural Information Processing Systems (NIPS) 27.
    (acceptance rate: 25%)
    [bibtex|pdf]
  4. Archer E, Park IM, Pillow JW (2013). Bayesian entropy estimation for binary spike train data using parametric prior knowledge. Advances in Neural Information Processing Systems (NIPS) 26.
    (selected for spotlight presentation, top 5% of submitted)
    [bibtex|poster|pdf|code]
  5. Park IM*, Archer E*, Priebe N, Pillow JW (2013). Spectral methods for neural characterization using generalized quadratic models. Advances in Neural Information Processing Systems (NIPS) 26.
    (acceptance rate: 25%; *=equal contribution)
    [bibtex|poster|pdf]
  6. Park IM, Archer E, Latimer K, Pillow JW (2013). Universal models for binary spike patterns using centered Dirichlet processes. Advances in Neural Information Processing Systems (NIPS) 26.
    (acceptance rate: 25%)
    [bibtex|poster|pdf]
  7. Archer E*, Park IM*, Pillow JW (2012). Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. Advances in Neural Information Processing Systems (NIPS) 25.
    (acceptance rate: 25%; *=equal contribution)
    [bibtex|poster|pdf|code]

Conference Abstracts

  1. Speiser A, Turaga S, Archer E, Macke J (2017). Amortized inference for fast spike prediction from calcium imaging data. Cosyne Abstracts 2014, Salt Lake City, USA.
  2. Archer E, Park IM, Büsing L, Cunningham JP, Paninski L (2016). Black box variational inference for state space models. International Conference on Learning Representations (ICLR) 2016, Workshops
  3. Yates J, Archer E, Huk AC, Park IM (2015). Canonical correlations reveal co-variability between spike trains and local field potentials in area MT. CNS 2015, Prague, Czech Republic.
  4. Archer E, Pillow JW, Macke JH (2014). Low-dimensional dynamical neural population models with shared stimulus drive. Bernstein Conference 2014, Göttingen, Germany.
  5. Archer E, Pillow JW, Macke JH (2014). Low-d dynamical models of neural populations with common input. Areadne 2014, Santorini, Greece.
  6. Archer E, Pillow JW, Macke JH (2014). Low-dimensional models of neural population recordings with complex stimulus selectivity. Cosyne Abstracts 2014, Salt Lake City, USA. [abstract|poster]
  7. Park IM, Archer E, Latimer K, Pillow JW (2014). Scalable nonparametric models for binary spike patterns. Cosyne Abstracts 2014, Salt Lake City, USA. [abstract]
  8. Archer E, Park IM, Priebe N, Pillow JW (2013). Generalized quadratic models and moment-based dimensionality reduction. Bernstein Conference 2013, Tübingen, Germany.
  9. Park IM, Archer E, Pillow JW (2013). Bayesian entropy estimators for spike trains. CNS 2013, Paris, France. [abstract]
  10. Archer E, Park IM, Pillow JW (2013). Semi-parametric Bayesian entropy estimation for binary spike trains. Cosyne Abstracts 2013, Salt Lake City, USA. [abstract|poster]
  11. Park IM, Archer E, Priebe N, Pillow JW (2013). Got a moment or two? Neural models and linear dimensionality reduction. Cosyne Abstracts 2013, Salt Lake City, USA. [abstract|poster]
  12. Archer E, Park IM, Pillow JW (2012). Bayesian entropy estimation for infinite neural alphabets. Cosyne Abstracts 2012, Salt Lake City, USA. [abstract|poster|Memming’s summary]
  13. Archer E, Priebe N, Pillow JW (2011). Voltage-triggered methods for intracellular neural characterization in visual cortex. Cosyne Abstracts 2011, Salt Lake City, USA. [abstract|poster]

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