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Adriana Romero-Soriano
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2020 – today
- 2024
- [j3]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) - [c13]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. CVPR 2024: 26690-26699 - [c12]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. ECCV (87) 2024: 213-229 - [c11]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: 585-601 - [c10]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:
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. NeurIPS 2024 - [i29]Aarash Feizi, Randall Balestriero, Adriana Romero-Soriano, Reihaneh Rabbany:
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning. CoRR abs/2401.01990 (2024) - [i28]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 abs/2403.14421 (2024) - [i27]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 abs/2403.17804 (2024) - [i26]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 abs/2405.04457 (2024) - [i25]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 abs/2406.04551 (2024) - [i24]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 abs/2406.10429 (2024) - [i23]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 abs/2406.11988 (2024) - [i22]Rohan Sukumaran, Aarash Feizi, Adriana Romero-Soriano, Golnoosh Farnadi:
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. CoRR abs/2410.17358 (2024) - [i21]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:
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. CoRR abs/2411.03177 (2024) - [i20]Tariq Berrada, Pietro Astolfi, Jakob Verbeek, Melissa Hall, Marton Havasi, Michal Drozdzal, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari:
Boosting Latent Diffusion with Perceptual Objectives. CoRR abs/2411.04873 (2024) - [i19]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:
EvalGIM: A Library for Evaluating Generative Image Models. CoRR abs/2412.10604 (2024) - [i18]Candace Ross, Melissa Hall, Adriana Romero-Soriano, Adina Williams:
What makes a good metric? Evaluating automatic metrics for text-to-image consistency. CoRR abs/2412.13989 (2024) - 2023
- [j2]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023) - [c9]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: 14102-14109 - [c8]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: 23321-23337 - [i17]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 abs/2301.00512 (2023) - [i16]Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano:
Learning to Substitute Ingredients in Recipes. CoRR abs/2302.07960 (2023) - [i15]Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal:
Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR abs/2303.09677 (2023) - [i14]Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal:
Controllable Image Generation via Collage Representations. CoRR abs/2304.13722 (2023) - [i13]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. CoRR abs/2305.08675 (2023) - [i12]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 abs/2305.17589 (2023) - [i11]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 abs/2308.06198 (2023) - [i10]Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano:
Feedback-guided Data Synthesis for Imbalanced Classification. CoRR abs/2310.00158 (2023) - [i9]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 abs/2312.08578 (2023) - 2022
- [c7]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT 2022: 70-88 - [c6]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: 63-85 - [i8]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR abs/2202.07603 (2022) - [i7]Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda:
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR abs/2203.16392 (2022) - [i6]Aarash Feizi, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany:
Revisiting Hotels-50K and Hotel-ID. CoRR abs/2207.10200 (2022) - [i5]Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger
, Adriana Romero-Soriano:
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR abs/2210.00978 (2022) - 2021
- [c5]Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano:
Instance-Conditioned GAN. NeurIPS 2021: 27517-27529 - [c4]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 - [c3]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: 16064-16078 - [c2]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. NeurIPS 2021: 29433-29448 - [c1]Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. PAKDD (1) 2021: 514-527 - [i4]Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. CoRR abs/2105.04037 (2021) - [i3]Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano:
Instance-Conditioned GAN. CoRR abs/2109.05070 (2021) - [i2]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. CoRR abs/2110.13100 (2021) - 2020
- [i1]Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano:
Generating unseen complex scenes: are we there yet? CoRR abs/2012.04027 (2020)
2010 – 2019
- 2016
- [j1]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): 5547-5559 (2016)
Coauthor Index

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last updated on 2025-02-15 01:22 CET by the dblp team
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