Cristina Savin
17 papers · 2011–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half
π
Keyword Champion
(4)
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(105)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(9)
Interdisciplinary
(9)
Optimization & Theory
(7)
Science
(7)
Deep Learning
(6)
Cognitive Science
(6)
Core AI
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Architectures
(5)
Bayesian & Probabilistic Β· Machine Learning
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
synaptic plasticity
(4)
bayesian inference
(3)
probabilistic inference
(3)
neural network
(3)
recurrent neural network
(3)
gaussian process
(2)
representation learning
(2)
biological plausibility
(2)
memory retrieval
(2)
associative memory
(2)
neural response
(2)
neural population
(2)
unsupervised learning
(2)
normative model
(2)
neural population activity
(2)
autoassociative memory
(2)
spiking neural network
(2)
population coding
(1)
probabilistic modeling
(1)
decision making
(1)
Papers
Nonlinear multiregion neural dynamics with parametric impulse response communication channels
ICLR 2025
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
ICLR 2024
Learning predictable and robust neural representations by straightening image sequences
NeurIPS 2024
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
ICLR 2023
Formalizing locality for normative synaptic plasticity models
NeurIPS 2023
Across-animal odor decoding by probabilistic manifold alignment
NeurIPS 2021
A sampling-based circuit for optimal decision making
NeurIPS 2021
Impression learning: Online representation learning with synaptic plasticity
NeurIPS 2021
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
JMLR 2020
Efficient estimation of neural tuning during naturalistic behavior
NeurIPS 2020
Learning efficient task-dependent representations with synaptic plasticity
NeurIPS 2020
Flexible information routing in neural populations through stochastic comodulation
NeurIPS 2019
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
NeurIPS 2016
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
NeurIPS 2016
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
NeurIPS 2014
Correlations strike back (again): the case of associative memory retrieval
NeurIPS 2013
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
NeurIPS 2011