Bruno Ribeiro

Orcid: 0000-0002-3527-6192

Affiliations:
  • Purdue University, West Lafayette, IN, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA (former)
  • University of Massachusetts, Amherst, MA, USA (former)


According to our database1, Bruno Ribeiro authored at least 108 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Zero-shot Logical Query Reasoning on any Knowledge Graph.
CoRR, 2024

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
Reducing classifier overconfidence against adversaries through graph algorithms.
Mach. Learn., July, 2023

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts.
CoRR, 2023

Efficient Subgraph GNNs by Learning Effective Selection Policies.
CoRR, 2023

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes.
CoRR, 2023

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning.
CoRR, 2023

Double Permutation Equivariance for Knowledge Graph Completion.
CoRR, 2023

Causal Lifting and Link Prediction.
CoRR, 2023

Veritas: Answering Causal Queries from Video Streaming Traces.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Effective passive membership inference attacks in federated learning against overparameterized models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Pro-Active Defense Framework for IoT Systems.
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil.
Proceedings of the Color Imaging XXVIII: Displaying, 2023

2022
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.
Data Min. Knowl. Discov., 2022

Bias Challenges in Counterfactual Data Augmentation.
CoRR, 2022

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Equivalence Between Temporal and Static Equivariant Graph Representations.
Proceedings of the International Conference on Machine Learning, 2022

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Xatu: Richer Neural Network Based Prediction for Video Streaming.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery.
J. Intell. Manuf., 2021

Set Twister for Single-hop Node Classification.
CoRR, 2021

Contextual Unsupervised Outlier Detection in Sequences.
CoRR, 2021

On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions.
CoRR, 2021

Explaining classification performance and bias via network structure and sampling technique.
Appl. Netw. Sci., 2021

Reconstruction for Powerful Graph Representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

A Collective Learning Framework to Boost GNN Expressiveness for Node Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021

Size-Invariant Graph Representations for Graph Classification Extrapolations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Networks for Learning Counterfactual G-Invariances from Single Environments.
Proceedings of the 9th International Conference on Learning Representations, 2021

Membership Inference Attacks and Defenses in Classification Models.
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

2020
On New Group Popularity Prediction in Event-Based Social Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.
EPJ Data Sci., 2020

Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation.
CoRR, 2020

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms.
CoRR, 2020

A Collective Learning Framework to Boost GNN Expressiveness.
CoRR, 2020

Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap.
CoRR, 2020

Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming.
Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Experience: towards automated customer issue resolution in cellular networks.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

On the Equivalence between Positional Node Embeddings and Structural Graph Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.
ACM Trans. Knowl. Discov. Data, 2019

Practical characterization of large networks using neighborhood information.
Knowl. Inf. Syst., 2019

Deep Lifetime Clustering.
CoRR, 2019

On the Equivalence between Node Embeddings and Structural Graph Representations.
CoRR, 2019

Are Graph Neural Networks Miscalibrated?
CoRR, 2019

Curated Pathways to Innovation: Personalized CS Education to Promote Diversity.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

GrAPL Keynote 2.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Relational Pooling for Graph Representations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Feedforward Neural Networks for Caching: n Enough or Too Much?
SIGMETRICS Perform. Evaluation Rev., 2018

Selective harvesting over networks.
Data Min. Knowl. Discov., 2018

Feedforward Neural Networks for Caching: Enough or Too Much?
CoRR, 2018

Graph Pattern Mining and Learning through User-defined Relations (Extended Version).
CoRR, 2018

SBG-sketch: a self-balanced sketch for labeled-graph stream summarization.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Tracking Groups in Mobile Network Traces.
Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

Oboe: auto-tuning video ABR algorithms to network conditions.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

On Group Popularity Prediction in Event-Based Social Networks.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Graph Pattern Mining and Learning through User-Defined Relations.
Proceedings of the IEEE International Conference on Data Mining, 2018

From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Detecting Anomalies in Sequential Data with Higher-order Networks.
CoRR, 2017

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls.
CoRR, 2017

Identifying User Survival Types via Clustering of Censored Social Network Data.
CoRR, 2017

Should We Be Confident in Peer Effects Estimated From Social Network Crawls?
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
Detecting Cluster with Temporal Information in Sparse Dynamic Graph.
CoRR, 2016

TribeFlow: Mining & Predicting User Trajectories.
Proceedings of the 25th International Conference on World Wide Web, 2016

On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Inference in OSNs via Lightweight Partial Crawls.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Mining Online Music Listening Trajectories.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls.
CoRR, 2015

Beyond Models: Forecasting Complex Network Processes Directly from Data.
Proceedings of the 24th International Conference on World Wide Web, 2015

Challenges of Forecasting and Measuring a Complex Networked World.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling Website Popularity Competition in the Attention-Activity Marketplace.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2014
Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site.
Proceedings of the Social Network Analysis - Community Detection and Evolution, 2014

Efficiently Estimating Motif Statistics of Large Networks.
ACM Trans. Knowl. Discov. Data, 2014

Who is Dating Whom: Characterizing User Behaviors of a Large Online Dating Site.
CoRR, 2014

Online dating recommendations: matching markets and learning preferences.
Proceedings of the 23rd International World Wide Web Conference, 2014

Modeling and predicting the growth and death of membership-based websites.
Proceedings of the 23rd International World Wide Web Conference, 2014

Classifying latent infection states in complex networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Efficient network generation under general preferential attachment.
Proceedings of the 23rd International World Wide Web Conference, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Pay few, influence most: Online myopic network covering.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

The socio-monetary incentives of online social network malware campaigns.
Proceedings of the second ACM conference on Online social networks, 2014

2013
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling.
IEEE J. Sel. Areas Commun., 2013

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.
CoRR, 2013

Understanding the growth and death of online social networks: evidence and model.
CoRR, 2013

Characterizing branching processes from sampled data.
Proceedings of the 22nd International World Wide Web Conference, 2013

A study of user behavior on an online dating site.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Online Myopic Network Covering
CoRR, 2012

Quantifying the effect of temporal resolution in time-varying network
CoRR, 2012

Characterizing continuous time random walks on time varying graphs.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Sampling directed graphs with random walks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Multiple random walks to uncover short paths in power law networks.
Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

On the estimation accuracy of degree distributions from graph sampling.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Characterizing Random Walks on Dynamic Graphs
CoRR, 2011

Characterizing continuous-time random walks on dynamic networks.
Proceedings of the SIGMETRICS 2011, 2011

2010
Measurement and gender-specific analysis of user publishing characteristics on MySpace.
IEEE Netw., 2010

Improving Random Walk Estimation Accuracy with Uniform Restarts.
Proceedings of the Algorithms and Models for the Web-Graph - 7th International Workshop, 2010

Estimating and sampling graphs with multidimensional random walks.
Proceedings of the 10th ACM SIGCOMM Internet Measurement Conference, 2010

2008
Analyzing Privacy in Enterprise Packet Trace Anonymization.
Proceedings of the Network and Distributed System Security Symposium, 2008

A resource-minimalist flow size histogram estimator.
Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008

2006
Fisher information of sampled packets: an application to flow size estimation.
Proceedings of the 6th ACM SIGCOMM Internet Measurement Conference, 2006

2005
Exploiting the IPID Field to Infer Network Path and End-System Characteristics.
Proceedings of the Passive and Active Network Measurement, 6th International Workshop, 2005

2001
On Holomorphic Foliations Without Algebraic Solutions.
Exp. Math., 2001

A SIP/H.323 Signaling Gateway Implementation for IP Telephony.
Proceedings of the 2nd Latin American Network Operations and Management Symposium, 2001


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