Romero-Soriano, Adriana

27 publications

ICLR 2026 Grounding Computer Use Agents on Human Demonstrations Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodriguez, Nicolas Chapados, David Vazquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar

ICLR 2026 The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models Xiaofeng Zhang, Aaron Courville, Michal Drozdzal, Adriana Romero-Soriano

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