Adriana Romero-Soriano

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Image Generation

Diffusion Models

Tree Reweighted

Scene Reconstruction

Top Venues

Trans. Mach. Learn. Res.

Publications

Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. Trans. Mach. Learn. Res. 2024 (2024)
Aarash Feizi, Randall Balestriero, Adriana Romero-Soriano, Reihaneh Rabbany
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning. CoRR (2024)
Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR (2024)
Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR (2024)
Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. CoRR (2024)
Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. FAccT (2024)
Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance. CoRR (2024)
Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR (2024)
Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall
Decomposed evaluations of geographic disparities in text-to-image models. CoRR (2024)
Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
Feedback-guided Data Synthesis for Imbalanced Classification. CoRR (2023)
Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. CoRR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. CoRR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CoRR (2023)
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. CoRR (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023)
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. AAAI (2023)
Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
Controllable Image Generation via Collage Representations. CoRR (2023)
Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal
Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR (2023)
Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano
Learning to Substitute Ingredients in Recipes. CoRR (2023)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT (2022)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL (2022)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR (2022)
Aarash Feizi, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany
Revisiting Hotels-50K and Hotel-ID. CoRR (2022)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR (2022)
Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR (2022)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. CoRR (2021)
Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics. NeurIPS Datasets and Benchmarks (2021)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. NeurIPS (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS (2021)
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
Instance-Conditioned GAN. CoRR (2021)
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
Graph Attention Networks with Positional Embeddings. CoRR (2021)
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
Instance-Conditioned GAN. NeurIPS (2021)
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
Graph Attention Networks with Positional Embeddings. PAKDD (1) (2021)
Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano
Generating unseen complex scenes: are we there yet? CoRR (2020)
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
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. 9 (12) (2016)