Adriana Romero-Soriano
12 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Research topics
Keywords
latent diffusion model
(3)
image generation
(2)
benchmark evaluation
(1)
transfer learning
(1)
video generation
(1)
sequential decision making
(1)
image reconstruction
(1)
diffusion model
(1)
visual grounding
(1)
markov decision process
(1)
message passing
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
partial observability
(1)
generative model
(1)
attention mechanism
(1)
inductive bia
(1)
variational autoencoder
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graph transformer
(1)
sample efficiency
(1)
Papers
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
AAAI 2026
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026
Boosting Latent Diffusion with Perceptual Objectives
ICLR 2025
Controlling Multimodal LLMs via Reward-guided Decoding
ICCV 2025
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
ICCV 2025
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
CVPR 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
ECCV 2024
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NeurIPS 2024
Graph Inductive Biases in Transformers without Message Passing
ICML 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
AAAI 2023
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
MIDL 2022