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Liam Paninski

Identifiers

  • name variant Liam Paninski 0.60 · backfill

Papers (25)

  1. BEAST3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting q-bio.NC · 2026 · author #9
  2. A cross-species neural foundation model for end-to-end speech decoding cs.CL · 2025 · author #12
  3. Amortized Bayesian inference for clustering models stat.ML · 2018 · author #2
  4. Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data q-bio.NC · 2018 · author #20
  5. Reparameterizing the Birkhoff Polytope for Variational Permutation Inference stat.ML · 2017 · author #4
  6. Automated scalable segmentation of neurons from multispectral images q-bio.NC · 2016 · author #8
  7. Recurrent switching linear dynamical systems stat.ML · 2016 · author #5
  8. Stochastic Bouncy Particle Sampler stat.CO · 2016 · author #4
  9. Fast Online Deconvolution of Calcium Imaging Data q-bio.NC · 2016 · author #3
  10. Robust and scalable Bayesian analysis of spatial neural tuning function data stat.CO · 2016 · author #3
  11. Linear dynamical neural population models through nonlinear embeddings q-bio.NC · 2016 · author #3
  12. Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data q-bio.NC · 2016 · author #11
  13. Bayesian methods for event analysis of intracellular currents q-bio.QM · 2016 · author #5
  14. Partition Functions from Rao-Blackwellized Tempered Sampling stat.ML · 2016 · author #4
  15. Black box variational inference for state space models stat.ML · 2015 · author #5
  16. Neuroprosthetic decoder training as imitation learning stat.ML · 2015 · author #3
  17. A structured matrix factorization framework for large scale calcium imaging data analysis q-bio.NC · 2014 · author #9
  18. Bayesian spike inference from calcium imaging data q-bio.NC · 2013 · author #4
  19. Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions stat.CO · 2013 · author #2
  20. A shotgun sampling solution for the common input problem in neural connectivity inference q-bio.NC · 2013 · author #6
  21. Fast inference in generalized linear models via expected log-likelihoods stat.ME · 2013 · author #2
  22. Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians stat.CO · 2012 · author #2
  23. Efficient methods for sampling spike trains in networks of coupled neurons stat.AP · 2011 · author #2
  24. A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data stat.AP · 2011 · author #3
  25. Fast non-negative deconvolution for spike train inference from population calcium imaging q-bio.QM · 2009 · author #7

Mentions

  • 2606.02937 #9 · arxiv_oai · confidence 0.70 Liam Paninski
  • 1409.2903 #9 · backfill · confidence 0.70 Liam Paninski
  • 1311.6864 #4 · backfill · confidence 0.70 Liam Paninski
  • 1311.2166 #2 · backfill · confidence 0.70 Liam Paninski
  • 1309.3724 #6 · backfill · confidence 0.70 Liam Paninski
  • 1305.5712 #2 · backfill · confidence 0.70 Liam Paninski
  • 1208.4118 #2 · backfill · confidence 0.70 Liam Paninski
  • 1111.7098 #2 · backfill · confidence 0.70 Liam Paninski
  • 1107.4228 #3 · backfill · confidence 0.70 Liam Paninski
  • 0912.1637 #7 · backfill · confidence 0.70 Liam Paninski

Frequent Coauthors