Byron M. Yu
9 papers · 2007–2024 · 1 venue · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird π Academic Marathon Β· Full π Trend Setter
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(79)
Venues
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Research topics
Machine Learning
(9)
Core Methods
(7)
Interdisciplinary
(6)
Optimization & Theory
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Science
(5)
Artificial Intelligence
(4)
Healthcare & Medicine
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Research
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Keywords
neural population
(5)
gaussian process
(3)
firing rate
(2)
dimensionality reduction
(2)
factor analysis
(2)
spiking activity
(2)
single trial analysis
(1)
motor cortex
(1)
statistical modeling
(1)
feature embedding
(1)
bayesian inference
(1)
time series
(1)
statistical model
(1)
canonical correlation analysis
(1)
firing rate inference
(1)
gaussian processes
(1)
point process
(1)
probabilistic estimation
(1)
time-varying rates
(1)
gaussian process regression
(1)
Papers
MiSO: Optimizing brain stimulation to create neural population activity states
NeurIPS 2024
Uncovering motifs of concurrent signaling across multiple neuronal populations
NeurIPS 2023
Adaptive stimulus selection for optimizing neural population responses
NeurIPS 2017
Deterministic Symmetric Positive Semidefinite Matrix Completion
NeurIPS 2014
Extracting Latent Structure From Multiple Interacting Neural Populations
NeurIPS 2014
Dynamical segmentation of single trials from population neural data
NeurIPS 2011
Empirical models of spiking in neural populations
NeurIPS 2011
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
NeurIPS 2008
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
NeurIPS 2007