Andrea Dittadi
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (10)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Triple Crown
π
Grand Slam
β
The Questioner
π
Century Club
(14)
π₯
Unstoppable
(6)
Conferences
ICLR (6)
ICML (3)
NIPS (2)
AAAI (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
variational autoencoder
(2)
adversarial robustness
(2)
feature learning
(1)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
human pose estimation
(1)
latent representation
(1)
out-of-distribution generalization
(1)
variance reduction
(1)
signal-to-noise ratio
(1)
distribution shift
(1)
motion generation
(1)
generative model
(1)
score function
(1)
model calibration
(1)
disentangled representation
(1)
atari game
(1)
reinforcement learning
(1)
causal inference
(1)
Papers
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
ICLR 2025
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
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
The Role of Pretrained Representations for the OOD Generalization of RL Agents
ICLR 2022
Generalization and Robustness Implications in Object-Centric Learning
ICML 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
NIPS 2022
On the Transfer of Disentangled Representations in Realistic Settings
ICLR 2021
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations
ICCV 2021
Planning from Pixels in Atari with Learned Symbolic Representations
AAAI 2021
On Disentangled Representations Learned from Correlated Data
ICML 2021
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
NIPS 2020