Francesco Bullo
7 papers · 2021–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (3)
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Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Core Methods
(2)
Optimization
(2)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
contraction theory
(3)
network flow
(2)
implicit neural network
(2)
lipschitz constant
(2)
stability analysis
(1)
optimal control
(1)
certified robustness
(1)
global stability
(1)
deep learning
(1)
bilevel optimization
(1)
implicit neural representation
(1)
optimization algorithm
(1)
dynamical system
(1)
recurrent neural network
(1)
physics-informed learning
(1)
forward-backward splitting
(1)
physics-informed neural network
(1)
adversarial robustness
(1)
semi-supervised learning
(1)
image classification
(1)
Papers
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
NeurIPS 2024
Non-Euclidean Monotone Operator Theory and Applications
JMLR 2024
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
AISTATS 2022
Physics-Informed Implicit Representations of Equilibrium Network Flows
NeurIPS 2022
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach
L4DC 2022
Combining Physics and Machine Learning for Network Flow Estimation
ICLR 2021
Robust Implicit Networks via Non-Euclidean Contractions
NeurIPS 2021