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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Generating unseen complex scenes: are we there yet? - Arantxa Casanova; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2020)

Instance-Conditioned GAN. - Arantxa Casanova; Marlène Careil; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (NeurIPS, 2021)

Parameter Prediction for Unseen Deep Architectures. - Boris Knyazev 001; Michal Drozdzal; Graham W. Taylor; Adriana Romero-Soriano (NeurIPS, 2021)

Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics. - Charan Reddy; Deepak Sharma; Soroush Mehri; Adriana Romero-Soriano; Samira Shabanian; Sina Honari (NeurIPS Datasets and Benchmarks, 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 (NeurIPS, 2021)

Graph Attention Networks with Positional Embeddings. - Liheng Ma; Reihaneh Rabbany; Adriana Romero-Soriano (PAKDD (1), 2021)

Fairness Indicators for Systematic Assessments of Visual Feature Extractors. - Priya Goyal; Adriana Romero-Soriano; Caner Hazirbas; Levent Sagun; Nicolas Usunier (FAccT, 2022)

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. - Tim Bakker; Matthew J. Muckley; Adriana Romero-Soriano; Michal Drozdzal; Luis Pineda (MIDL, 2022)

Revisiting Hotels-50K and Hotel-ID. - Aarash Feizi; Arantxa Casanova; Adriana Romero-Soriano; Reihaneh Rabbany (CoRR, 2022)

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. - Edward J. Smith; Michal Drozdzal; Derek Nowrouzezahrai; David Meger; Adriana Romero-Soriano (CoRR, 2022)

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 (AAAI, 2023)

Graph Inductive Biases in Transformers without Message Passing. - Liheng Ma; Chen Lin 003; Derek Lim; Adriana Romero-Soriano; Puneet K. Dokania; Mark Coates; Philip H. S. Torr; Ser-Nam Lim (ICML, 2023)

Learning to Substitute Ingredients in Recipes. - Bahare Fatemi; Quentin Duval; Rohit Girdhar; Michal Drozdzal; Adriana Romero-Soriano (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)

Controllable Image Generation via Collage Representations. - Arantxa Casanova; Marlène Careil; Adriana Romero-Soriano; Christopher J. Pal; Jakob Verbeek; Michal Drozdzal (CoRR, 2023)

Improved baselines for vision-language pre-training. - Enrico Fini; Pietro Astolfi; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (Trans. Mach. Learn. Res., 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 (CVPR, 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 (ECCV (87), 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 (FAccT, 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 (NeurIPS, 2024)

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning. - Aarash Feizi; Randall Balestriero; Adriana Romero-Soriano; Reihaneh Rabbany (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 001 (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)

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)

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. - Rohan Sukumaran; Aarash Feizi; Adriana Romero-Soriano; Golnoosh Farnadi (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)

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; et al. (CoRR, 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)

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)

Feedback-guided Data Synthesis for Imbalanced Classification. - Reyhane Askari Hemmat; Mohammad Pezeshki; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (Trans. Mach. Learn. Res., 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)

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 (ICLR, 2025)

Augmented Conditioning Is Enough For Effective Training Image Generation. - Jiahui Chen; Amy Zhang 001; Adriana Romero-Soriano (CoRR, 2025)

Object-centric Binding in Contrastive Language-Image Pretraining. - Rim Assouel; Pietro Astolfi; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 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 002 (CoRR, 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 (CoRR, 2025)

Entropy Rectifying Guidance for Diffusion and Flow Models. - Tariq Berrada Ifriqi; Adriana Romero-Soriano; Michal Drozdzal; Jakob Verbeek; Karteek Alahari (CoRR, 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, 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 (CoRR, 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, 2025)

Controlling Multimodal LLMs via Reward-guided Decoding. - Oscar Mañas; Pierluca D'Oro; Koustuv Sinha; Adriana Romero-Soriano; Michal Drozdzal; Aishwarya Agrawal (CoRR, 2025)