Gabriel Mel
4 papers · 2019–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(3)
π
Cross-Pollinator
(11)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
Conferences
NIPS (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
grid cell
(2)
learning theory
(1)
neural dynamics
(1)
ridge regression
(1)
sample complexity
(1)
model architecture
(1)
feature correlation
(1)
high dimensional regression
(1)
neural response
(1)
phase transition
(1)
recurrent neural network
(1)
symmetry breaking
(1)
pattern formation
(1)
task-driven neural network
(1)
representation learning
(1)
neuroscience modeling
(1)
Papers
Anisotropic Random Feature Regression in High Dimensions
ICLR 2022
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
NIPS 2021
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
ICML 2021
A unified theory for the origin of grid cells through the lens of pattern formation
NIPS 2019