Adriana Romero-Soriano

Orcid: 0000-0003-3604-6281

According to our database1, Adriana Romero-Soriano authored at least 42 papers between 2016 and 2025.

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Bibliography

2025
Controlling Multimodal LLMs via Reward-guided Decoding.
CoRR, August, 2025

Increasing the Utility of Synthetic Images through Chamfer Guidance.
CoRR, August, 2025

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models.
CoRR, June, 2025

Multi-Modal Language Models as Text-to-Image Model Evaluators.
CoRR, May, 2025

Entropy Rectifying Guidance for Diffusion and Flow Models.
CoRR, April, 2025

Improving the Scaling Laws of Synthetic Data with Deliberate Practice.
CoRR, February, 2025

PairBench: A Systematic Framework for Selecting Reliable Judge VLMs.
CoRR, February, 2025

Object-centric Binding in Contrastive Language-Image Pretraining.
CoRR, February, 2025

Augmented Conditioning Is Enough For Effective Training Image Generation.
CoRR, February, 2025

Boosting Latent Diffusion with Perceptual Objectives.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Improving Text-to-Image Consistency via Automatic Prompt Optimization.
Trans. Mach. Learn. Res., 2024

Feedback-guided Data Synthesis for Imbalanced Classification.
Trans. Mach. Learn. Res., 2024

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity.
Trans. Mach. Learn. Res., 2024

What makes a good metric? Evaluating automatic metrics for text-to-image consistency.
CoRR, 2024

EvalGIM: A Library for Evaluating Generative Image Models.
CoRR, 2024

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models.
CoRR, 2024

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation.
CoRR, 2024

Decomposed evaluations of geographic disparities in text-to-image models.
CoRR, 2024

Consistency-diversity-realism Pareto fronts of conditional image generative models.
CoRR, 2024

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning.
CoRR, 2024

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning.
CoRR, 2024

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance.
Proceedings of the Computer Vision - ECCV 2024, 2024

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Improved baselines for vision-language pre-training.
Trans. Mach. Learn. Res., 2023

Controllable Image Generation via Collage Representations.
CoRR, 2023

Instance-Conditioned GAN Data Augmentation for Representation Learning.
CoRR, 2023

Learning to Substitute Ingredients in Recipes.
CoRR, 2023

Graph Inductive Biases in Transformers without Message Passing.
Proceedings of the International Conference on Machine Learning, 2023

On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction.
CoRR, 2022

Revisiting Hotels-50K and Hotel-ID.
CoRR, 2022

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Fairness Indicators for Systematic Assessments of Visual Feature Extractors.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Graph Attention Networks with Positional Embeddings.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Active 3D Shape Reconstruction from Vision and Touch.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Parameter Prediction for Unseen Deep Architectures.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Instance-Conditioned GAN.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Generating unseen complex scenes: are we there yet?
CoRR, 2020

2016
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016


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