Adam S. Charles
4 papers · 2017–2024 · 2 venues · across top CS/AI venues
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Achievements
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π
Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Gold
πΊοΈ
Taxonomy Completionist
(13)
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Core Methods
(3)
Interdisciplinary
(2)
Optimization & Theory
(2)
Science
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types
(1)
Methods
(1)
Keywords
linear dynamical system
(2)
probabilistic modeling
(1)
neural dynamics
(1)
computer vision
(1)
bayesian inference
(1)
sparse coding
(1)
time series
(1)
neural activity
(1)
real-time processing
(1)
calcium imaging
(1)
short-term memory
(1)
random matrix theory
(1)
hidden markov model
(1)
state space model
(1)
latent variable
(1)
recurrent neural network
(1)
signal extraction
(1)
real-time inference
(1)
sequence processing
(1)
cell identification
(1)
Papers
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
JMLR 2024
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
NeurIPS 2024
realSEUDO for real-time calcium imaging analysis
NeurIPS 2024
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
JMLR 2017