Johanni Brea
7 papers · 2011–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (13)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(22)
β
The Questioner
π
Trend Setter
Conferences
NIPS (4)
ICML (3)
Top co-authors
Keywords
spiking neural network
(2)
state abstraction
(1)
probabilistic modeling
(1)
knowledge distillation
(1)
loss landscape
(1)
kernel classification
(1)
model-based reinforcement learning
(1)
neural activity
(1)
sequence learning
(1)
spike-timing dependent plasticity
(1)
spiking networks
(1)
associative memory
(1)
pattern storage
(1)
probabilistic model
(1)
hopfield network
(1)
synaptic weight
(1)
gradient flow
(1)
weight averaging
(1)
differentiable simulation
(1)
temporal pattern
(1)
Papers
Expand-and-Cluster: Parameter Recovery of Neural Networks
ICML 2024
Should Under-parameterized Student Networks Copy or Average Teacher Weights?
NIPS 2023
Kernel Memory Networks: A Unifying Framework for Memory Modeling
NIPS 2022
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
ICML 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator
NIPS 2021
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
ICML 2018
Sequence learning with hidden units in spiking neural networks
NIPS 2011