Luca Saglietti
5 papers · 2018–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Academic Marathon (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer
π£
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Cross-Pollinator
(10)
Conferences
ICML (3)
NIPS (2)
Top co-authors
Keywords
unsupervised learning
(1)
stochastic gradient
(1)
catastrophic forgetting
(1)
variational inference
(1)
curriculum learning
(1)
gaussian process
(1)
high-dimensional estimation
(1)
time series
(1)
approximate message passing
(1)
phase retrieval
(1)
gaussian process prior
(1)
state evolution
(1)
latent variable model
(1)
latent representation
(1)
variational autoencoder
(1)
statistical physics
(1)
prior misspecification
(1)
teacher-student network
(1)
neural network
(1)
generalized linear estimation
(1)
Papers
How Transformers Learn Structured Data: Insights From Hierarchical Filtering
ICML 2025
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
ICML 2024
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
NIPS 2022
Generalized Approximate Survey Propagation for High-Dimensional Estimation
ICML 2019
Gaussian Process Prior Variational Autoencoders
NIPS 2018