Adriana Romero-Soriano
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study. | Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano, Doina Precup |
| 2025 | ICCV | Controlling Multimodal Llms Via Reward-Guided Decoding. | Oscar Maas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2023 | AAAI | On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. | Sumana Basu, Marc-Andr Legault, Adriana Romero-Soriano, Doina Precup |
| 2023 | ICML | 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 |
| 2021 | PAKDD | Graph Attention Networks with Positional Embeddings. | Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano |