Francesco Tudisco
12 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Conference Polyglot (4)
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Academic Marathon
(9)
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Cross-Pollinator
(13)
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Renaissance Researcher
(6)
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Century Club
(12)
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Trend Setter
Conferences
NIPS (5)
ICML (4)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
stochastic block model
(3)
spectral clustering
(3)
semi-supervised learning
(3)
community detection
(2)
label propagation
(2)
multilayer graph
(2)
matrix power mean
(2)
graph clustering
(2)
graph laplacian
(2)
efficient computing
(1)
network pruning
(1)
lottery ticket hypothesis
(1)
laplacian regularization
(1)
tensor decomposition
(1)
adversarial robustness
(1)
graph regularization
(1)
laplacian matrix
(1)
model pruning
(1)
low-rank approximation
(1)
matrix factorization
(1)
Papers
GeoLoRA: Geometric integration for parameter efficient fine-tuning
ICLR 2025
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
ICLR 2025
Subhomogeneous Deep Equilibrium Models
ICML 2024
Geometry-aware training of factorized layers in tensor Tucker format
NIPS 2024
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
ICML 2023
Robust low-rank training via approximate orthonormal constraints
NIPS 2023
Nonlinear Feature Diffusion on Hypergraphs
ICML 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
NIPS 2022
Spectral Clustering of Signed Graphs via Matrix Power Means
ICML 2019
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
NIPS 2019
The Power Mean Laplacian for Multilayer Graph Clustering
AISTATS 2018
Clustering Signed Networks with the Geometric Mean of Laplacians
NIPS 2016