Romero-Soriano, Adriana

25 publications

ICLRW 2025 Augmented Conditioning Is Enough for Effective Training Image Generation Jiahui Chen, Amy Zhang, Adriana Romero-Soriano

ICLR 2025 Boosting Latent Diffusion with Perceptual Objectives Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek

ICCV 2025 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

ICCV 2025 DIMCIM: A Quantitative Evaluation Framework for Default-Mode Diversity and Generalization in Text-to-Image Generative Models Revant Teotia, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, Matthew Muckley

NeurIPS 2025 Entropy Rectifying Guidance for Diffusion and Flow Models Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari

ICML 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2025 Increasing the Utility of Synthetic Images Through Chamfer Guidance Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari-Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal

NeurIPS 2025 Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

CVPR 2024 A Picture Is Worth More than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano

NeurIPSW 2024 Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models Pietro Astolfi, Melissa Hall, Jakob Verbeek, Marlene Careil, Oscar Mañas, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal

NeurIPSW 2024 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

TMLR 2024 DIG in: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano

ICMLW 2024 Decomposed Evaluations of Geographic Disparities in Text-to-Image Models Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppan, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

ICMLW 2024 Decomposed Evaluations of Geographic Disparities in Text-to-Image Models Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppan, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

NeurIPSW 2024 Deliberate Practice with Synthetic Data Reyhane Askari-Hemmat, Mohammad Pezeshki, Pietro Astolfi, Melissa Hall, Florian Bordes, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

TMLR 2024 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

ECCV 2024 Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano

TMLR 2024 Improving Text-to-Image Consistency via Automatic Prompt Optimization Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal

NeurIPSW 2024 OC-CLIP : Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2024 On Improved Conditioning Mechanisms and Pre-Training Strategies for Diffusion Models Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

NeurIPSW 2023 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

ICML 2023 Graph Inductive Biases in Transformers Without Message Passing Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

TMLR 2023 Improved Baselines for Vision-Language Pre-Training Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

MIDL 2023 On Learning Adaptive Acquisition Policies for Undersampled Multi-Coil MRI Reconstruction Tim Bakker, Matthew Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda

AAAI 2023 On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup