Francesco Alesiani
10 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26)
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Topic Evolution
ποΈ
Keyword Collector
(64)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Mathematics
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Reinforcement Learning
(1)
Applications
(1)
Learning Paradigms
(1)
Keywords
information theory
(2)
scientific machine learning
(2)
combinatorial optimization
(2)
multi-task learning
(2)
partial differential equation
(2)
bregman divergence
(1)
channel attention
(1)
variational inference
(1)
curriculum learning
(1)
feature selection
(1)
robust optimization
(1)
feature correlation
(1)
convex optimization
(1)
message passing
(1)
mutual information
(1)
covariate shift
(1)
convex clustering
(1)
statistical dependence
(1)
machine learning
(1)
graph laplacian
(1)
Papers
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
ICML 2025
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
NeurIPS 2024
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming
AAAI 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
ICML 2023
PDEBench: An Extensive Benchmark for Scientific Machine Learning
NeurIPS 2022
Principle of relevant information for graph sparsification
UAI 2022
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Reinforcement Learning for Route Optimization with Robustness Guarantees
IJCAI 2021
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
IJCAI 2020
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
AAAI 2019