Ribeiro, Bruno

39 publications

UAI 2025 Constraint-Based Causal Discovery from a Collection of Conditioning Sets Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu

CVPR 2025 DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof

NeurIPS 2025 Differentiable Constraint-Based Causal Discovery Jincheng Zhou, Mengbo Wang, Anqi He, Yumeng Zhou, Hessam Olya, Murat Kocaoglu, Bruno Ribeiro

ICLR 2025 Holographic Node Representations: Pre-Training Task-Agnostic Node Embeddings Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro

AISTATS 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi

LoG 2025 TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro

ICML 2025 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro

NeurIPS 2024 A Foundation Model for Zero-Shot Logical Query Reasoning Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu

NeurIPS 2024 DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof

ICLR 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron

NeurIPS 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec

ICLR 2024 MetaPhysiCa: Improving OOD Robustness in Physics-Informed Machine Learning S Chandra Mouli, Muhammad Alam, Bruno Ribeiro

NeurIPSW 2024 Random Propagations in GNNs Thu Bui, Anugunj Naman, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof

NeurIPSW 2024 Rethinking Fine-Tuning Through Geometric Perspective Krishna Sri Ipsit Mantri, Moshe Eliasof, Carola-Bibiane Schönlieb, Bruno Ribeiro

UAI 2024 Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions Mai Elkady, Thu Bui, Bruno Ribeiro, David Inouye

ICMLW 2024 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro

ICMLW 2024 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro

NeurIPSW 2023 A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro

ECML-PKDD 2023 A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral

NeurIPSW 2023 Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao, Yangze Zhou, Jincheng Zhou, Bruno Ribeiro

ICLR 2023 Effective Passive Membership Inference Attacks in Federated Learning Against Overparameterized Models Jiacheng Li, Ninghui Li, Bruno Ribeiro

ICLRW 2023 MetaPhysiCa: OOD Robustness in Physics-Informed Machine Learning S Chandra Mouli, Muhammad Alam, Bruno Ribeiro

MLJ 2023 Reducing Classifier Overconfidence Against Adversaries Through Graph Algorithms Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro

ICLR 2022 Asymmetry Learning for Counterfactually-Invariant Classification in OOD Tasks S Chandra Mouli, Bruno Ribeiro

NeurIPSW 2022 Conditional Invariances for Conformer Invariant Protein Representations Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Soji Adeshina, Mayank Kakodkar, George Karypis, Bruno Ribeiro

NeurIPS 2022 OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro

ICML 2022 On the Equivalence Between Temporal and Static Equivariant Graph Representations Jianfei Gao, Bruno Ribeiro

ICML 2021 A Collective Learning Framework to Boost GNN Expressiveness for Node Classification Mengyue Hang, Jennifer Neville, Bruno Ribeiro

ICLR 2021 Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli, Bruno Ribeiro

NeurIPS 2021 Reconstruction for Powerful Graph Representations Leonardo Cotta, Christopher Morris, Bruno Ribeiro

ICML 2021 Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro

AAAI 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro

ICLR 2020 On the Equivalence Between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan, Bruno Ribeiro

NeurIPS 2020 Unsupervised Joint K-Node Graph Representations with Compositional Energy-Based Models Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro

ICLR 2019 Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro

ICML 2019 Relational Pooling for Graph Representations Ryan Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro

AAAI 2018 From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro

AAAI 2018 Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville

ECML-PKDD 2014 Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos