Aram Galstyan

According to our database1, Aram Galstyan authored at least 119 papers between 2001 and 2020.

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Bibliography

2020
Towards Learning Representations of Binary Executable Files for Security Tasks.
CoRR, 2020

2019
Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems.
CoRR, 2019

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.
CoRR, 2019

Stacking Models for Nearly Optimal Link Prediction in Complex Networks.
CoRR, 2019

Nearly-Unsupervised Hashcode Representations for Relation Extraction.
CoRR, 2019

A Survey on Bias and Fairness in Machine Learning.
CoRR, 2019

Efficient Covariance Estimation from Temporal Data.
CoRR, 2019

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings.
CoRR, 2019

Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
CoRR, 2019

Coupled Clustering of Time-Series and Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Fast structure learning with modular regularization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exact Rate-Distortion in Autoencoders via Echo Noise.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
Proceedings of the 36th International Conference on Machine Learning, 2019

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Structured Neural Network for Event Temporal Relation Extraction.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

BioRelEx 1.0: Biological Relation Extraction Benchmark.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Debiasing community detection: the importance of lowly connected nodes.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Auto-Encoding Total Correlation Explanation.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Kernelized Hashcode Representations for Relation Extraction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Capturing Edge Attributes via Network Embedding.
IEEE Trans. Comput. Social Systems, 2018

Adaptive decision making via entropy minimization.
Int. J. Approx. Reason., 2018

Maximizing Multivariate Information with Error-Correcting Codes.
CoRR, 2018

Evading the Adversary in Invariant Representation.
CoRR, 2018

Adaptive prior probabilities via optimization of risk and entropy.
CoRR, 2018

Stochastic Learning of Nonstationary Kernels for Natural Language Modeling.
CoRR, 2018

From Alt-Right to Alt-Rechts: Twitter Analysis of the 2017 German Federal Election.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Forest Mixture Bound for Block-Free Parallel Inference.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Invariant Representations without Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dialogue Modeling Via Hash Functions.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Embedding Networks with Edge Attributes.
Proceedings of the 29th on Hypertext and Social Media, 2018

Mining and Forecasting Career Trajectories of Music Artists.
Proceedings of the 29th on Hypertext and Social Media, 2018

2017
Memory-induced mechanism for self-sustaining activity in networks.
CoRR, 2017

Efficient Representation for Natural Language Processing via Kernelized Hashcodes.
CoRR, 2017

Emergence of Leadership in Communication.
CoRR, 2017

Unifying Local and Global Change Detection in Dynamic Networks.
CoRR, 2017

Low Complexity Gaussian Latent Factor Models and a Blessing of Dimensionality.
CoRR, 2017

Multitask Learning and Benchmarking with Clinical Time Series Data.
CoRR, 2017

Sifting Common Information from Many Variables.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Disentangled representations via synergy minimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks.
IEEE Trans. Knowl. Data Eng., 2016

The DARPA Twitter Bot Challenge.
CoRR, 2016

Toward Interpretable Topic Discovery via Anchored Correlation Explanation.
CoRR, 2016

The DARPA Twitter Bot Challenge.
IEEE Computer, 2016

Latent Space Model for Multi-Modal Social Data.
Proceedings of the 25th International Conference on World Wide Web, 2016

Predicting Online Extremism, Content Adopters, and Interaction Reciprocity.
Proceedings of the Social Informatics - 8th International Conference, 2016

Unsupervised Entity Resolution on Multi-type Graphs.
Proceedings of the Semantic Web - ISWC 2016, 2016

Variational Information Maximization for Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

The Information Sieve.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Modeling Concept Dependencies in a Scientific Corpus.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Estimating Mutual Information by Local Gaussian Approximation.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Maximally Informative Hierarchical Representations of High-Dimensional Data.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Efficient Estimation of Mutual Information for Strongly Dependent Variables.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Mixed Membership Blockmodels for Dynamic Networks with Feedback.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Modeling Temporal Activity Patterns in Dynamic Social Networks.
IEEE Trans. Comput. Social Systems, 2014

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization.
CoRR, 2014

Understanding confounding effects in linguistic coordination: an information-theoretic approach.
CoRR, 2014

Opinion Dynamics with Confirmation Bias.
CoRR, 2014

Active Inference for Binary Symmetric Hidden Markov Models.
CoRR, 2014

Tripartite graph clustering for dynamic sentiment analysis on social media.
Proceedings of the International Conference on Management of Data, 2014

Discovering Structure in High-Dimensional Data Through Correlation Explanation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Demystifying Information-Theoretic Clustering.
Proceedings of the 31th International Conference on Machine Learning, 2014

Where and Why Users "Check In".
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Activation Cascades in Structured Populations.
Proceedings of the Handbook of Human Computation, 2013

Latent Point Process Models for Spatial-Temporal Networks
CoRR, 2013

Phase Transitions in Community Detection: A Solvable Toy Model.
CoRR, 2013

Coevolutionary networks of reinforcement-learning agents.
CoRR, 2013

Continuous strategy replicator dynamics for multi-agent Q-learning.
Autonomous Agents and Multi-Agent Systems, 2013

Information-theoretic measures of influence based on content dynamics.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Sentiment Prediction Using Collaborative Filtering.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Coupled hidden markov models for user activity in social networks.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Statistical Tests for Contagion in Observational Social Network Studies.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Inferring Predictive Links in Social Media Using Content Transfer
CoRR, 2012

Hidden Markov Models for the Activity Profile of Terrorist Groups
CoRR, 2012

Information transfer in social media.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Adaptive agents on evolving networks.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Dynamics of Softmax Q-Learning in Two-Player Two-Action Games
CoRR, 2011

Replicator Dynamics of Co-Evolving Networks
CoRR, 2011

A Sequence of Relaxations Constraining Hidden Variable Models
CoRR, 2011

Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs
CoRR, 2011

Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs (Abstract).
Proceedings of the UAI 2011, 2011

A Sequence of Relaxation Constraining Hidden Variable Models.
Proceedings of the UAI 2011, 2011

Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Social Mechanics: An Empirically Grounded Science of Social Media.
Proceedings of the Future of the Social Web, 2011

Co-Evolution of Selection and Influence in Social Networks.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Replicator Dynamics of Coevolving Networks.
Proceedings of the Complex Adaptive Systems: Resilience, 2010

2009
Community Detection with and without Prior Information
CoRR, 2009

Maximizing Influence Propagation in Networks with Community Structure
CoRR, 2009

Continuous Strategy Replicator Dynamics for Multi-Agent Learning.
CoRR, 2009

On Maximum a Posteriori Estimation of Hidden Markov Processes.
Proceedings of the UAI 2009, 2009

TENTACLES: Self-configuring robotic radio networks in unknown environments.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008
Top-down vs bottom-up methodologies in multi-agent system design.
Auton. Robots, 2008

Analysis of social voting patterns on digg.
Proceedings of the first Workshop on Online Social Networks, 2008

Influence Propagation in Modular Networks.
Proceedings of the Social Information Processing, 2008

2007
Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2006
Analysis of Dynamic Task Allocation in Multi-Robot Systems.
I. J. Robotics Res., 2006

Iterative Relational Classification Through Three-State Epidemic Dynamics.
Proceedings of the Intelligence and Security Informatics, 2006

Relational Classification Through Three-State Epidemic Dynamics.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Resource Allocation in the Grid with Learning Agents.
J. Grid Comput., 2005

Modeling and mathematical analysis of swarms of microscopic robots.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Comparative analysis of top-down and bottom-up methodologies for multi-agent system design.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

2004
Mathematical Analysis of Multi-Agent Systems
CoRR, 2004

Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms.
Auton. Robots, 2004

A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems.
Proceedings of the Swarm Robotics, SAB 2004 International Workshop, 2004

Distributed online localization in sensor networks using a moving target.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Analysis of a Stochastic Model of Adaptive Task Allocation in Robots.
Proceedings of the Engineering Self-Organising Systems, 2004

Resource Allocation in the Grid Using Reinforcement Learning.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Macroscopic analysis of adaptive task allocation in robots.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Threshold Behavior in a Boolean Network Model for SAT.
Proceedings of the International Conference on Artificial Intelligence, 2003

Agent memory and adaptation in multi-agent systems.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

Resource allocation games with changing resource capacities.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
Mathematical Model of Foraging in a Group of Robots: Effect of Interference.
Auton. Robots, 2002

2001
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems.
Artificial Life, 2001


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