Giulio Biroli
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (12)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(12)
🏆
Keyword Champion
(2)
🔥
Unstoppable
(5)
💎
Century Club
(13)
❓
The Questioner
(2)
🗃️
Keyword Collector
(57)
Conferences
NIPS (7)
ICML (4)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
neural network
(4)
gradient flow
(3)
double descent
(2)
shallow neural network
(2)
loss landscape
(2)
non-convex optimization
(2)
statistical physics
(2)
mean-field theory
(2)
interpolation threshold
(2)
phase retrieval
(1)
logistic loss
(1)
signal recovery
(1)
neural network optimization
(1)
generative model
(1)
singular value decomposition
(1)
generalization error
(1)
feature learning
(1)
inductive bia
(1)
convolutional neural network
(1)
gradient descent
(1)
Papers
A Differentiable Rank-Based Objective for Better Feature Learning
ICLR 2025
Cascade of phase transitions in the training of energy-based models
NIPS 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
AISTATS 2024
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
ICML 2022
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
ICML 2021
On the interplay between data structure and loss function in classification problems
NIPS 2021
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime
ICML 2020
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
NIPS 2020
Triple descent and the two kinds of overfitting: where & why do they appear?
NIPS 2020
An analytic theory of shallow networks dynamics for hinge loss classification
NIPS 2020
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
NIPS 2019
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
NIPS 2019
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
ICML 2018