Adriana Romero-Soriano

According to our database, Adriana Romero-Soriano authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

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

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

2023

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

CoRR, 2023

Feedback-guided Data Synthesis for Imbalanced Classification.

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

CoRR, 2023

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

CoRR, 2023

Improved baselines for vision-language pre-training.

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

CoRR, 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