Rodrigues, Miguel R. D.

16 publications

TMLR 2025 TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues

TMLR 2025 Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust Zhuo Zhi, Yuxuan Sun, Qiangqiang Wu, Ziquan Liu, Miguel R. D. Rodrigues

ICMLW 2024 Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul W Basit, Andreas Demosthenous, Miguel R. D. Rodrigues

NeurIPSW 2024 LLM Alignment Using Soft Prompt Tuning: The Case of Cultural Alignment Reem I. Masoud, Martin Ferianc, Philip Colin Treleaven, Miguel R. D. Rodrigues

TMLR 2024 Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc, Ondrej Bohdal, Timothy Hospedales, Miguel R. D. Rodrigues

ICMLW 2024 Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust Zhuo Zhi, Ziquan Liu, Qiangqiang Wu, Miguel R. D. Rodrigues

NeurIPSW 2023 ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data Maria Carolina Novitasari, Johannes Quaas, Miguel R. D. Rodrigues

NeurIPSW 2023 ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data Maria Carolina Novitasari, Johannes Quaas, Miguel R. D. Rodrigues

ICLR 2023 Generalization and Estimation Error Bounds for Model-Based Neural Networks Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar

NeurIPSW 2023 Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data Maria Carolina Novitasari, Johannes Quaas, Miguel R. D. Rodrigues

NeurIPSW 2023 Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data Maria Carolina Novitasari, Johannes Quaas, Miguel R. D. Rodrigues

NeurIPSW 2022 Federated Fairness Without Access to Demographics Afroditi Papadaki, Natalia Martinez, Martin Andres Bertran, Guillermo Sapiro, Miguel R. D. Rodrigues

ICCVW 2019 Lautum Regularization for Semi-Supervised Transfer Learning Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes

AISTATS 2017 Generalization Error of Invariant Classifiers Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues

ICCVW 2017 Learning to Identify While Failing to Discriminate Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro

ICML 2012 Communications Inspired Linear Discriminant Analysis Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank