Jonathan W. Pillow
14 papers · 2007–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(112)
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Interdisciplinary
(10)
Optimization & Theory
(10)
Science
(9)
Bayesian & Probabilistic Β· Machine Learning
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Core Methods
(5)
Healthcare & Medicine
(4)
Cognitive Science
(4)
Research
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Mathematics
(3)
Deep Learning
(2)
Keywords
bayesian inference
(5)
maximum likelihood
(3)
maximum likelihood estimation
(3)
latent dynamics
(2)
variational inference
(2)
neural spike train
(2)
bayesian entropy estimation
(2)
neural coding
(2)
spike train analysis
(2)
neural encoding
(2)
active learning
(2)
dynamical system
(2)
posterior distribution
(2)
dirichlet process
(2)
spike counts
(2)
neural response
(2)
pitman-yor process
(2)
bayesian estimation
(2)
laplace approximation
(1)
markov chain monte carlo
(1)
Papers
Flow-field inference from neural data using deep recurrent networks
ICML 2025
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
NeurIPS 2024
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
ICLR 2024
Parsing neural dynamics with infinite recurrent switching linear dynamical systems
ICLR 2024
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
ICML 2021
Bayesian Entropy Estimation for Countable Discrete Distributions
JMLR 2014
Bayesian active learning with localized priors for fast receptive field characterization
NeurIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
NeurIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking
NeurIPS 2012
Active learning of neural response functions with Gaussian processes
NeurIPS 2011
Bayesian Spike-Triggered Covariance Analysis
NeurIPS 2011
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
NeurIPS 2009
Characterizing neural dependencies with copula models
NeurIPS 2008
Neural characterization in partially observed populations of spiking neurons
NeurIPS 2007