Aram Galstyan

Nanyun Peng, Fred Morstatter, Aram Galstyan, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Understanding Confounding Effects in Linguistic Coordination: An Information-Theoretic Approach

Aram Galstyan, Shuyang Gao, Greg Ver Steeg, 2014, PloS one.

Sensemaking Research Roadmap

Rama Chellappa, Charles Clancy, Aram Galstyan, 2018 .

Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems

Nanyun Peng, Ralph Weischedel, Aram Galstyan, 2020, AAAI.

Mathematical Analysis of Multi-Agent Systems

Tad Hogg, Kristina Lerman, Aram Galstyan, 2004, ArXiv.

Replicator Dynamics of Coevolving Networks

Armen E. Allahverdyan, Aram Galstyan, Ardeshir Kianercy, 2010, AAAI Fall Symposium: Complex Adaptive Systems.

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction

Guillermo A. Cecchi, Aram Galstyan, Greg Ver Steeg, 2019, EMNLP.

One-shot Learning for Temporal Knowledge Graphs pdf

Mohammad Rostami, Fred Morstatter, Xiang Ren, 2020, AKBC.

Dynamics of Boltzmann Q learning in two-player two-action games.

Aram Galstyan, Ardeshir Kianercy, A. Galstyan, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities pdf

Kristina Lerman, Amulya Yadav, Aram Galstyan, 2019, ArXiv.

Analysis of a Stochastic Model of Adaptive Task Allocation in Robots

Kristina Lerman, Aram Galstyan, A. Galstyan, 2004, Engineering Self-Organising Systems.

Sentiment Prediction Using Collaborative Filtering

Zornitsa Kozareva, Jihie Kim, Aram Galstyan, 2013, ICWSM.

Sequential Unsupervised Domain Adaptation through Prototypical Distributions pdf

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2020, ArXiv.

Co-Evolution of Selection and Influence in Social Networks pdf

Aram Galstyan, Greg Ver Steeg, Yoon-Sik Cho, 2011, AAAI.

Sequential Model Adaptation Using Domain Agnostic Internal Distributions

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2020, 2007.00197.

A Survey on Bias and Fairness in Machine Learning pdf

Kristina Lerman, Fred Morstatter, Aram Galstyan, 2019, ACM Comput. Surv..

Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly

Paul M. Thompson, Xue Hua, Neda Jahanshad, 2016, SPIE Medical Imaging.

Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers

Paul R. Cohen, Aram Galstyan, P. Cohen, 2005, IJCAI.

Estimating Mutual Information by Local Gaussian Approximation pdf

Aram Galstyan, Shuyang Gao, Greg Ver Steeg, 2015, UAI.

Distributed online localization in sensor networks using a moving target

Kristina Lerman, Bhaskar Krishnamachari, Sundeep Pattem, 2004, IPSN.

Emergence of Leadership in Communication

Armen E. Allahverdyan, Aram Galstyan, A. Galstyan, 2016, PloS one.

Multitask learning and benchmarking with clinical time series data

Aram Galstyan, Hrant Khachatrian, David C. Kale, 2017, Scientific Data.

Likelihood Ratio Exponential Families pdf

Frank Nielsen, Rob Brekelmans, Alireza Makhzani, 2020, ArXiv.

ForecastQA: A Question Answering Challenge for Event Forecasting.

Rahul Khanna, Fred Morstatter, Xiang Ren, 2020 .

Mixed Membership Blockmodels for Dynamic Networks with Feedback

Aram Galstyan, Greg Ver Steeg, Yoon-Sik Cho, 2014, Handbook of Mixed Membership Models and Their Applications.

Detecting and Tracking Hostile Plans in the Hats World

Paul R. Cohen, Aram Galstyan, Sinjini Mitra, 2007, AAAI 2007.

Exacerbating Algorithmic Bias through Fairness Attacks pdf

Fred Morstatter, Aram Galstyan, Ninareh Mehrabi, 2020, AAAI.

Predicting online extremism, content adopters, and interaction reciprocity pdf

Alessandro Flammini, Emilio Ferrara, Wen-Qiang Wang, 2016, SocInfo.

Unifying Local and Global Change Detection in Dynamic Networks pdf

Wenzhe Li, Aram Galstyan, Dong Guo, 2017, ArXiv.

Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text pdf

Daniel Marcu, Sahil Garg, Aram Galstyan, 2015, AAAI.

MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization pdf

Wael Abd-Almageed, Aram Galstyan, Hanchen Xie, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

A General Methodology for Mathematical Analysis of Multi-Agent Systems

Kristina Lerman, Aram Galstyan, A. Galstyan, 2001 .

Stochastic Learning of Nonstationary Kernels for Natural Language Modeling pdf

Sahil Garg, Aram Galstyan, Greg Ver Steeg, 2018, ArXiv.

Maximally Informative Hierarchical Representations of High-Dimensional Data pdf

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2014, AISTATS.

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition

Nanyun Peng, Fred Morstatter, Aram Galstyan, 2019, HT.

Coupled Clustering of Time-Series and Networks

Danai Koutra, Pedro Szekely, Pedro A. Szekely, 2019, SDM.

Deep Structured Neural Network for Event Temporal Relation Extraction

Nanyun Peng, Ralph Weischedel, Aram Galstyan, 2019, CoNLL.

Latent Embeddings of Point Process Excitations

Aram Galstyan, Greg Ver Steeg, Myrl G. Marmarelis, 2020 .

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

Daniel Marcu, Xin Gao, Sophia Ananiadou, 2020, npj Systems Biology and Applications.

Event Cartography: Latent Point Process Embeddings pdf

Aram Galstyan, Greg Ver Steeg, Myrl G. Marmarelis, 2020, ArXiv.

Latent self-exciting point process model for spatial-temporal networks

Aram Galstyan, P. Jeffrey Brantingham, Yoon-Sik Cho, 2014 .

A Sequence of Relaxation Constraining Hidden Variable Models pdf

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2011, UAI.

Demystifying Information-Theoretic Clustering pdf

Fei Sha, Simon DeDeo, Aram Galstyan, 2013, ICML.

Learning Bounded Rationality Models of the Adversary in Repeated Stackelberg Security Games

Milind Tambe, Bo An, Fei Fang, 2015 .

Towards Modeling Social and Content Dynamics in Discussion Forums

Jihie Kim, Aram Galstyan, A. Galstyan, 2010, HLT-NAACL 2010.

Fast structure learning with modular regularization

Aram Galstyan, Greg Ver Steeg, Daniel Moyer, 2017, NeurIPS.

Low Complexity Gaussian Latent Factor Models and a Blessing of Dimensionality pdf

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2017, ArXiv.

The Information Sieve

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2015, ICML.

Coupled hidden markov models for user activity in social networks

Vasanthan Raghavan, Aram Galstyan, Greg Ver Steeg, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Mining and Forecasting Career Trajectories of Music Artists

Margaret Martin, Fred Morstatter, Emilio Ferrara, 2018, HT.

Anchor Attention for Hybrid Crowd Forecasts Aggregation pdf

Fred Morstatter, Aram Galstyan, Pavel Atanasov, 2020, AAMAS.

Efficient Covariance Estimation from Temporal Data pdf

Aram Galstyan, Hrant Khachatrian, Greg Ver Steeg, 2019, ArXiv.

Dialogue Modeling Via Hash Functions: Applications to Psychotherapy pdf

Palash Goyal, Sahil Garg, Guillermo A. Cecchi, 2018, ArXiv.

Compressing Deep Neural Networks via Layer Fusion pdf

Aram Galstyan, Greg Ver Steeg, James O' Neill, 2020, ArXiv.

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach

Palash Goyal, Sahil Garg, Guillermo A. Cecchi, 2020, AAAI.

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization pdf

Aram Galstyan, Greg Ver Steeg, Linhong Zhu, 2014, ArXiv.

Hidden Markov Models for the Activity Profile of Terrorist Groups pdf

Vasanthan Raghavan, Aram Galstyan, Alexander G. Tartakovsky, 2012, ArXiv.

Influence Propagation in Modular Networks

Paul R. Cohen, Aram Galstyan, 2008, AAAI Spring Symposium: Social Information Processing.

Disentangled representations via synergy minimization

Rob Brekelmans, Aram Galstyan, Greg Ver Steeg, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

SAGE: A Hybrid Geopolitical Event Forecasting System

Rok Sosic, Jure Leskovec, Fred Morstatter, 2019, IJCAI.

Continuous strategy replicator dynamics for multi-agent Q-learning

Aram Galstyan, A. Galstyan, 2009, Autonomous Agents and Multi-Agent Systems.

Capturing Edge Attributes via Network Embedding

Palash Goyal, Emilio Ferrara, Aram Galstyan, 2018, IEEE Transactions on Computational Social Systems.

Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification

Paul R. Cohen, Aram Galstyan, P. Cohen, 2007, ILP.

Stacking models for nearly optimal link prediction in complex networks

Edoardo M. Airoldi, Aaron Clauset, Aram Galstyan, 2020, Proceedings of the National Academy of Sciences.

Information-theoretic measures of influence based on content dynamics

Aram Galstyan, Greg Ver Steeg, 2013, WSDM '13.

Dynamics of Softmax Q-Learning in Two-Player Two-Action Games pdf

Aram Galstyan, Ardeshir Kianercy, A. Galstyan, 2011, ArXiv.

Resource allocation in the grid using reinforcement learning

Kristina Lerman, Karl Czajkowski, Aram Galstyan, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Autonomous Robots manuscript No. (will be inserted by the editor) Top–Down vs Bottom–up Methodologies in Multi–Agent System Design

Kristina Lerman, Valentino Crespi, Aram Galstyan, 2022 .

A Systematic Approach to Composing and Optimizing Application Workflows

Joel H. Saltz, Kristina Lerman, Yolanda Gil, 2005 .

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract)

Aram Galstyan, Dong Guo, Greg Ver Steeg, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

The DARPA Twitter Bot Challenge

Amos Azaria, Kristina Lerman, V. S. Subrahmanian, 2016, Computer.

A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems

Kristina Lerman, Alcherio Martinoli, Aram Galstyan, 2004, Swarm Robotics.

Auto-Encoding Total Correlation Explanation

Rob Brekelmans, Aram Galstyan, Shuyang Gao, 2018, AISTATS.

Phase Transitions in Community Detection: A Solvable Toy Model pdf

Armen E. Allahverdyan, Cristopher Moore, Aram Galstyan, 2013, ArXiv.

Robust Classification under Class-Dependent Domain Shift pdf

Aram Galstyan, Greg Ver Steeg, Hrant Khachatrian, 2020, ArXiv.

Graph Embedding with Personalized Context Distribution

Kristina Lerman, Fred Morstatter, Sami Abu-El-Haija, 2020, WWW.

Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly

Paul M. Thompson, Xue Hua, Neda Jahanshad, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Exact Rate-Distortion in Autoencoders via Echo Noise

Rob Brekelmans, Aram Galstyan, Greg Ver Steeg, 2019, NeurIPS.

Statistical mechanics of semi-supervised clustering in sparse graphs pdf

Aram Galstyan, Greg Ver Steeg, Armen E. Allahverdyan, 2011, UAI.

Macroscopic analysis of adaptive task allocation in robots

Kristina Lerman, Aram Galstyan, A. Galstyan, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Replicator Dynamics of Co-Evolving Networks pdf

Armen E. Allahverdyan, Aram Galstyan, Ardeshir Kianercy, 2010, AAAI 2010.

Annealed Importance Sampling with q-Paths pdf

Frank Nielsen, Frank D. Wood, Vaden Masrani, 2020, ArXiv.

All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference

Frank D. Wood, Frank Wood, Vaden Masrani, 2020, ICML.

Maximizing Multivariate Information With Error-Correcting Codes

Aram Galstyan, Greg Ver Steeg, Kyle Reing, 2018, IEEE Transactions on Information Theory.

Cascading dynamics in modular networks.

Aram Galstyan, Paul Cohen, P. Cohen, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

TENTACLES: Self-configuring robotic radio networks in unknown environments

Wei-Min Shen, Michael Rubenstein, Hua Zhu, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms pdf

Fred Morstatter, Emilio Ferrara, Aram Galstyan, 2020, ArXiv.

Adaptive decision making via entropy minimization

Armen E. Allahverdyan, Zbigniew R. Struzik, Aram Galstyan, 2018, Int. J. Approx. Reason..

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings pdf

Nanyun Peng, Aram Galstyan, Sarik Ghazarian, 2019, Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation.

From Alt-Right to Alt-Rechts: Twitter Analysis of the 2017 German Federal Election

Fred Morstatter, Shanika Karunasekera, Yunqiu Shao, 2018, WWW.

Analysis of Dynamic Task Allocation in Multi-Robot Systems

Kristina Lerman, Maja J. Mataric, Aram Galstyan, 2006, Int. J. Robotics Res..

A Stochastic Model of Platoon Formation in Traffic Flow

Kristina Lerman, Aram Galstyan, 2001 .

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2014, NIPS.

Agent memory and adaptation in multi-agent systems

Kristina Lerman, Aram Galstyan, A. Galstyan, 2003, AAMAS '03.

A Forest Mixture Bound for Block-Free Parallel Inference pdf

Aram Galstyan, Greg Ver Steeg, Neal Lawton, 2018, UAI.

Modeling Concept Dependencies in a Scientific Corpus

Premkumar Natarajan, Jonathan Gordon, Gully A. P. C. Burns, 2016, ACL.

Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms

Wei-Min Shen, Peter M. Will, Aram Galstyan, 2004, Auton. Robots.

Embedding Networks with Edge Attributes

Palash Goyal, Emilio Ferrara, Aram Galstyan, 2018, HT.

Modeling Temporal Activity Patterns in Dynamic Social Networks

Vasanthan Raghavan, Aram Galstyan, Greg Ver Steeg, 2013, IEEE Transactions on Computational Social Systems.

Modeling and mathematical analysis of swarms of microscopic robots

Tad Hogg, Kristina Lerman, Aram Galstyan, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Inferring Predictive Links in Social Media Using Content Transfer pdf

Aram Galstyan, Greg Ver Steeg, 2012, ArXiv.

Tripartite graph clustering for dynamic sentiment analysis on social media

Kristina Lerman, James Cheng, Aram Galstyan, 2014, SIGMOD Conference.

Spatio-Temporal Nonlinear Filtering With Applications to Information Assurance and Counter Terrorism

Andrea L. Bertozzi, Christos Papadopoulos, Gerard Medioni, 2011 .

Efficient Estimation of Mutual Information for Strongly Dependent Variables pdf

Aram Galstyan, Shuyang Gao, Greg Ver Steeg, 2014, AISTATS.

Evading the Adversary in Invariant Representation pdf

Rob Brekelmans, Aram Galstyan, Shuyang Gao, 2018, NIPS 2018.

Threshold Behavior in a Boolean Network Model for SAT

Kristina Lerman, Alejandro Bugacov, Aram Galstyan, 2003, IC-AI.

Nearly-Unsupervised Hashcode Representations for Relation Extraction pdf

Sahil Garg, Aram Galstyan, Greg Ver Steeg, 2019, ArXiv.

Iterative Relational Classification Through Three-State Epidemic Dynamics

Paul R. Cohen, Aram Galstyan, 2006, ISI.

Minority games and distributed coordination in non-stationary environments

Kristina Lerman, Aram Galstyan, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Towards Learning Representations of Binary Executable Files for Security Tasks pdf

Aram Galstyan, Shushan Arakelyan, Erik Kline, 2020, ArXiv.

Statistical Tests for Contagion in Observational Social Network Studies

Aram Galstyan, Greg Ver Steeg, 2013, AISTATS.

Maximizing Influence Propagation in Networks with Community Structure

Paul R. Cohen, Aram Galstyan, Vahe L. Musoyan, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Invariant Representations without Adversarial Training

Rob Brekelmans, Aram Galstyan, Shuyang Gao, 2018, NeurIPS.

Kernelized Hashcode Representations for Relation Extraction

Sahil Garg, Irina Rish, Aram Galstyan, 2019, AAAI.

Non-Parametric Model Drift Detection

Aram Galstyan, 2016 .

Activation Cascades in Structured Populations

Aram Galstyan, A. Galstyan, 2013, Handbook of Human Computation.

A Survey on Bias and Fairness in Machine Learning

Kristina Lerman, Fred Morstatter, Aram Galstyan, 2019, ACM Comput. Surv..

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs pdf

Wes Hardaker, Valentino Crespi, Sami Abu-El-Haija, 2021, ArXiv.

Partner-Assisted Learning for Few-Shot Image Classification pdf

Shih-Fu Chang, Aram Galstyan, Jiawei Ma, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Attributing Fair Decisions with Attention Interventions pdf

Fred Morstatter, Aram Galstyan, Greg Ver Steeg, 2021, TRUSTNLP.

q-Paths: Generalizing the Geometric Annealing Path using Power Means

Frank Nielsen, Frank Wood, Vaden Masrani, 2021, UAI.

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling pdf

Aram Galstyan, Greg Ver Steeg, A. Galstyan, 2021, NeurIPS.

Discovering Higher-Order Interactions Through Neural Information Decomposition

Aram Galstyan, Greg Ver Steeg, Kyle Reing, 2021, Entropy.

Failure Modes of Domain Generalization Algorithms

Aram Galstyan, Greg Ver Steeg, Hrayr Harutyunyan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fast Graph Learning with Unique Optimal Solutions pdf

Valentino Crespi, Sami Abu-El-Haija, Aram Galstyan, 2021, ArXiv.

Influence Decompositions For Neural Network Attribution

Aram Galstyan, Greg Ver Steeg, Kyle Reing, 2021, AISTATS.

Implicit SVD for Graph Representation Learning pdf

Valentino Crespi, Sami Abu-El-Haija, Aram Galstyan, 2021, NeurIPS.

Information-theoretic generalization bounds for black-box learning algorithms pdf

Maxim Raginsky, Aram Galstyan, Greg Ver Steeg, 2021, NeurIPS.

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources

Fred Morstatter, Jay Pujara, Xiang Ren, 2021, EMNLP.

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data

Rahul Khanna, Fred Morstatter, Xiang Ren, 2020, ACL.

Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Fred Morstatter, Sami Abu-El-Haija, Aram Galstyan, 2021, IEEE Transactions on Computational Social Systems.

Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation pdf

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2021, ArXiv.

Bin2vec: learning representations of binary executable programs for security tasks

Aram Galstyan, Shushan Arakelyan, Erik Kline, 2020, Cybersecur..

Cognitively Inspired Learning of Incremental Drifting Concepts pdf

Mohammad Rostami, Aram Galstyan, 2021, ArXiv.

DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation

Nanyun Peng, Xuezhe Ma, Aram Galstyan, 2021, NAACL.

Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation pdf

Nanyun Peng, Ralph Weischedel, Aram Galstyan, 2021, NAACL.

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning pdf

Sami Abu-El-Haija, Aram Galstyan, Bryan Perozzi, 2021, ICLR.

Explaining Away Stylistic Coordination in Dialogues

Aram Galstyan, Shuyang Gao, Greg Ver Steeg, 2013 .

Tensor-based Method for Temporal Geopolitical Event Forecasting

Fred Morstatter, Sami Abu-El-Haija, Aram Galstyan, 2019 .

Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer’s Disease in the Aging Brain

Paul M. Thompson, Aram Galstyan, Greg Ver Steeg, 2018, Front. Aging Neurosci..

Improving Generalization by Controlling Label-Noise Information in Neural Network Weights pdf

Aram Galstyan, Greg Ver Steeg, Hrayr Harutyunyan, 2020, ICML.

Adaptive Boolean networks and minority games with time-dependent capacities.

Kristina Lerman, Aram Galstyan, A. Galstyan, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

Socially Relevant Venue Clustering from Check-in Data

Aram Galstyan, Greg Ver Steeg, Yoon-Sik Cho, 2013 .

Stacking models for nearly optimal link prediction in complex networks

Edoardo M. Airoldi, Aaron Clauset, Aram Galstyan, 2019, Proceedings of the National Academy of Sciences.

The Jean System

Clayton T. Morrison, Paul R. Cohen, Tim Oates, 2006 .