Andrea Dittadi
14 papers · 2020–2025 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Triple Crown
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Grand Slam
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The Questioner
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(9)
Core Methods
(8)
Artificial Intelligence
(6)
Models
(6)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Core AI
(4)
Learning Types · Deep Learning
(4)
Computer Vision
(2)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
Computer Science
(1)
Analysis
(1)
Keywords
variational autoencoder
(3)
out-of-distribution generalization
(3)
disentangled representation
(3)
representation learning
(2)
reinforcement learning
(2)
adversarial robustness
(2)
object-centric representation
(2)
domain generalization
(2)
compositional generalization
(2)
human pose estimation
(1)
visual question answering
(1)
model calibration
(1)
sim-to-real transfer
(1)
independent component analysis
(1)
transfer learning
(1)
feature learning
(1)
signal-to-noise ratio
(1)
variance reduction
(1)
distribution shift
(1)
gene expression
(1)
Papers
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
ICLR 2025
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
ICLR 2025
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
WACV 2024
DiffEnc: Variational Diffusion with a Learned Encoder
ICLR 2024
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
ICLR 2023
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
Generalization and Robustness Implications in Object-Centric Learning
ICML 2022
The Role of Pretrained Representations for the OOD Generalization of RL Agents
ICLR 2022
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations
ICCV 2021
On Disentangled Representations Learned from Correlated Data
ICML 2021
On the Transfer of Disentangled Representations in Realistic Settings
ICLR 2021
Planning from Pixels in Atari with Learned Symbolic Representations
AAAI 2021
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
NeurIPS 2020