Stefano Sarao Mannelli
11 papers · 2019–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18)
💎
Century Club · Bronze
❓
The Questioner
(2)
🗃️
Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory · Machine Learning
(10)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
continual learning
(3)
catastrophic forgetting
(3)
non-convex optimization
(3)
curriculum learning
(2)
gradient flow
(2)
landscape analysis
(2)
gradient descent
(2)
spurious minima
(2)
sgd dynamics
(1)
gaussian mixture model
(1)
online learning
(1)
weight initialization
(1)
phase retrieval
(1)
generalization error
(1)
stochastic gradient descent
(1)
momentum method
(1)
quadratic activation
(1)
control theory
(1)
policy network
(1)
learning dynamics
(1)
Papers
A Theory of Initialisation's Impact on Specialisation
ICLR 2025
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
ICLR 2025
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
NeurIPS 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
ICML 2024
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
ICML 2024
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
ICML 2022
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
NeurIPS 2021
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
NeurIPS 2020
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
NeurIPS 2020
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
ICML 2019
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
NeurIPS 2019