Adriana Romero-Soriano

According to our database, Adriana Romero-Soriano authored at least 48 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation.

Ye Zhu, Kaleb S. Newman, Johannes F. Lutzeyer, Adriana Romero-Soriano, Michal Drozdzal, Olga Russakovsky

CoRR, February, 2026

Inference-time Physics Alignment of Video Generative Models with Latent World Models.

Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano

CoRR, January, 2026

Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study.

Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano, Doina Precup

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar

CoRR, November, 2025

Improving the Physics of Video Generation with VJEPA-2 Reward Signal.

Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano

CoRR, October, 2025

The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models.

Xiaofeng Zhang, Aaron C. Courville, Michal Drozdzal, Adriana Romero-Soriano

CoRR, October, 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

CoRR, August, 2025

Multi-Modal Language Models as Text-to-Image Model Evaluators.

Jiahui Chen, Candace Ross, Reyhane Askari Hemmat, Koustuv Sinha, Melissa Hall, Michal Drozdzal, Adriana Romero-Soriano

CoRR, May, 2025

Entropy Rectifying Guidance for Diffusion and Flow Models.

Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari

CoRR, April, 2025

PairBench: A Systematic Framework for Selecting Reliable Judge VLMs.

Aarash Feizi, Sai Rajeswar, Adriana Romero-Soriano, Reihaneh Rabbany, Spandana Gella, Valentina Zantedeschi, João Monteiro

CoRR, February, 2025

Object-centric Binding in Contrastive Language-Image Pretraining.

Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

CoRR, February, 2025

Augmented Conditioning Is Enough For Effective Training Image Generation.

Jiahui Chen, Amy Zhang, Adriana Romero-Soriano

CoRR, February, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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 J. Muckley

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Controlling Multimodal Llms Via Reward-Guided Decoding.

Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Trans. Mach. Learn. Res., 2024

Feedback-guided Data Synthesis for Imbalanced Classification.

Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

Trans. Mach. Learn. Res., 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

Trans. Mach. Learn. Res., 2024

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

Candace Ross, Melissa Hall, Adriana Romero-Soriano, Adina Williams

CoRR, 2024

EvalGIM: A Library for Evaluating Generative Image Models.

Melissa Hall, Oscar Mañas, Reyhane Askari Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

CoRR, 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 J. Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

CoRR, 2024

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

Rohan Sukumaran, Aarash Feizi, Adriana Romero-Soriano, Golnoosh Farnadi

CoRR, 2024

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

Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

CoRR, 2024

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

Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2024

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

Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo

CoRR, 2024

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

Aarash Feizi, Randall Balestriero, Adriana Romero-Soriano, Reihaneh Rabbany

CoRR, 2024

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models.

Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari Hemmat, Yohann Benchetrit, Marton Havasi, Matthew J. Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models.

Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance.

Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Improved baselines for vision-language pre-training.

Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Trans. Mach. Learn. Res., 2023

Controllable Image Generation via Collage Representations.

Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal

CoRR, 2023

Instance-Conditioned GAN Data Augmentation for Representation Learning.

Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2023

Learning to Substitute Ingredients in Recipes.

Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano

CoRR, 2023

Graph Inductive Biases in Transformers without Message Passing.

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim

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.

Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction.

Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano

CoRR, 2022

Revisiting Hotels-50K and Hotel-ID.

Aarash Feizi, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany

CoRR, 2022

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.

Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Fairness Indicators for Systematic Assessments of Visual Feature Extractors.

Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier

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.

Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Active 3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal

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.

Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Parameter Prediction for Unseen Deep Architectures.

Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Instance-Conditioned GAN.

Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

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?

Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano

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.

Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016