Marco Fumero
10 papers · 2021–2025 · 4 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(8)
Core Methods
(6)
Deep Learning
(5)
Architectures
(4)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Computer Vision
(1)
Analysis
(1)
Generation
(1)
Models
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representation learning
(6)
latent space
(3)
zero-shot learning
(3)
model merging
(2)
embedding learning
(2)
latent representation
(2)
manifold learning
(2)
disentangled representation
(2)
feature learning
(1)
multimodal learning
(1)
multi-task learning
(1)
contrastive learning
(1)
semantic alignment
(1)
distribution shift
(1)
domain adaptation
(1)
latent variable
(1)
permutation optimization
(1)
transfer learning
(1)
metric learning
(1)
unsupervised learning
(1)
Papers
Unifying Causal Representation Learning with the Invariance Principle
ICLR 2025
$C^2M^3$: Cycle-Consistent Multi-Model Merging
NeurIPS 2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
ICLR 2024
Latent Functional Maps: a spectral framework for representation alignment
NeurIPS 2024
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
NeurIPS 2023
Latent Space Translation via Semantic Alignment
NeurIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning
NeurIPS 2023
Relative representations enable zero-shot latent space communication
ICLR 2023
CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation
CVPR 2022
Learning disentangled representations via product manifold projection
ICML 2021