Federico Errica
12 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🌍 Conference Polyglot · Silver 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
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The Questioner
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(8)
Architectures
(8)
Core Methods
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Optimization & Theory
(3)
Application Areas
(2)
Core AI
(2)
Learning Types
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Models
(1)
Keywords
graph neural network
(5)
graph representation learning
(4)
graph classification
(3)
variational inference
(2)
representation learning
(2)
probabilistic modeling
(2)
text classification
(1)
prompt engineering
(1)
benchmark evaluation
(1)
mixture model
(1)
temporal reasoning
(1)
maximum likelihood
(1)
message passing
(1)
machine learning
(1)
bayesian network
(1)
generative model
(1)
vertex classification
(1)
probabilistic model
(1)
graph prediction
(1)
bayesian nonparametrics
(1)
Papers
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
ICML 2025
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering
NAACL 2025
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
NeurIPS 2024
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
IJCAI 2024
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
ICLR 2024
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
NeurIPS 2023
The Infinite Contextual Graph Markov Model
ICML 2022
Graph Mixture Density Networks
ICML 2021
A Fair Comparison of Graph Neural Networks for Graph Classification
ICLR 2020
Probabilistic Learning on Graphs via Contextual Architectures
JMLR 2020
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
ICML 2018
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering
SemEval 2017