Aram Galstyan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
106
Venues
32
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ACL20 papers
- A*EMNLP12 papers
- ANAACL10 papers
- A*AAAI8 papers
- AUAI7 papers
- AAISTATS6 papers
- A*IJCAI5 papers
- A*ICML5 papers
- A*WWW4 papers
- A*ICLR2 papers
- AEACL2 papers
- AMICCAI2 papers
- AWSDM2 papers
- AICWSM2 papers
- AIROS2 papers
- MulticonferenceICASSP1 paper
- BCOLING1 paper
- ACIKM1 paper
- A*CVPR1 paper
- AInterspeech1 paper
- BITW1 paper
- CACML1 paper
- A*ICCV1 paper
- AWACV1 paper
- BCoNLL1 paper
- ASDM1 paper
- A*ICDE1 paper
- A*SIGMOD1 paper
- AAAMAS1 paper
- BILP1 paper
- CFUSION1 paper
- CISI1 paper
Papers
106 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System. | Jiacheng Liang, Yao Ma, Tharindu Kumarage, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Aram Galstyan, Charith Peris |
| 2026 | ACL | AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding. | Samuel Osebe, Fan Yang, Junyi Li, Yue Gu, Yongxin Wang, Satyapriya Krishna, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Weitong Ruan |
| 2026 | ACL | SWAN: Semantic Watermarking with Abstract Meaning Representation. | Ziping Ye, Gourab Dey, Christos Christodoulopoulos, Charith Peris, Anil Ramakrishna, Weitong Ruan, Aram Galstyan, Kai-Wei Chang, Rahul Gupta, Ninareh Mehrabi |
| 2025 | ACL | Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. | Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris |
| 2025 | ACL | Wanda++: Pruning Large Language Models via Regional Gradients. | Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Mller, Jonas M. Kbler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar |
| 2025 | EMNLP | Think Clearly: Improving Reasoning via Redundant Token Pruning. | Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati |
| 2025 | EMNLP | Mamba Drafters for Speculative Decoding. | Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati |
| 2025 | EMNLP | Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. | Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng |
| 2025 | EMNLP | Accelerated Test-Time Scaling with Model-Free Speculative Sampling. | Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati |
| 2025 | ICASSP | Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application. | Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Zheng Chen, Greg Ver Steeg, Aram Galstyan |
| 2025 | ICLR | SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. | Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan |
| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2024 | ACL | Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. | Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | ACL | Contrastive Instruction Tuning. | Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen |
| 2024 | AISTATS | Policy Learning for Localized Interventions from Observational Data. | Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg |
| 2024 | COLING | Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. | Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan |
| 2024 | EACL | Correcting Language Model Outputs by Editing Salient Layers. | Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar |
| 2024 | EACL | Prompt Perturbation Consistency Learning for Robust Language Models. | Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan |
| 2024 | EMNLP | FLIRT: Feedback Loop In-context Red Teaming. | Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta |
| 2024 | EMNLP | Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. | Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris |
| 2024 | EMNLP | Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. | Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | NAACL | Leveraging LLMs for Dialogue Quality Measurement. | Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar |
| 2024 | NAACL | The steerability of large language models toward data-driven personas. | Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta |
| 2024 | NAACL | Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. | Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta |
| 2024 | NAACL | MICo: Preventative Detoxification of Large Language Models through Inhibition Control. | Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan |
| 2023 | AAAI | Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. | Mohammad Rostami, Aram Galstyan |
| 2023 | ACL | Measuring and Mitigating Local Instability in Deep Neural Networks. | Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan |
| 2023 | ACL | ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. | Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng |
| 2023 | ACL | Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. | Umang Gupta, Aram Galstyan, Greg Ver Steeg |
| 2023 | ACL | ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. | Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan |
| 2023 | ACL | Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs. | Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan |
| 2023 | ACL | Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. | Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg |
| 2023 | ACL | Resolving Ambiguities in Text-to-Image Generative Models. | Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta |
| 2023 | ACL | History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. | Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan |
| 2023 | CIKM | The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. | Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang |
| 2023 | EMNLP | Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding. | Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan |
| 2023 | EMNLP | Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. | Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan |
| 2023 | IJCAI | Cognitively Inspired Learning of Incremental Drifting Concepts. | Mohammad Rostami, Aram Galstyan |
| 2023 | MICCAI | Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain. | Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad |
| 2023 | UAI | Partial identification of dose responses with hidden confounders. | Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg |
| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan |
| 2022 | ACL | On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. | Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan |
| 2022 | ACL | DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. | Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng |
| 2022 | ACL | Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. | Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan |
| 2022 | CVPR | Failure Modes of Domain Generalization Algorithms. | Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan |
| 2022 | EMNLP | Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. | Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan |
| 2022 | Interspeech | Learning Under Label Noise for Robust Spoken Language Understanding systems. | Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan |
| 2022 | ITW | Formal limitations of sample-wise information-theoretic generalization bounds. | Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan |
| 2022 | NAACL | Temporal Generalization for Spoken Language Understanding. | Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan |
| 2022 | NAACL | StATIK: Structure and Text for Inductive Knowledge Graph Completion. | Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg |
| 2022 | NAACL | Robust Conversational Agents against Imperceptible Toxicity Triggers. | Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan |
| 2021 | AAAI | Exacerbating Algorithmic Bias through Fairness Attacks. | Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan |
| 2021 | ACL | ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. | Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren |
| 2021 | ACML | Layer-Wise Neural Network Compression via Layer Fusion. | James O'Neill, Greg Ver Steeg, Aram Galstyan |
| 2021 | AISTATS | Influence Decompositions For Neural Network Attribution. | Kyle Reing, Greg Ver Steeg, Aram Galstyan |
| 2021 | EMNLP | Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. | Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan |
| 2021 | ICCV | Partner-Assisted Learning for Few-Shot Image Classification. | Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed |
| 2021 | ICLR | Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. | Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan |
| 2021 | NAACL | DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. | Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng |
| 2021 | NAACL | Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. | Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng |
| 2021 | WACV | MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization. | Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed |
| 2021 | UAI | q-Paths: Generalizing the geometric annealing path using power means. | Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood |
| 2020 | AAAI | Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. | Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2020 | AAAI | Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems. | Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng |
| 2020 | ICML | All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. | Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan |
| 2020 | ICML | Improving generalization by controlling label-noise information in neural network weights. | Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan |
| 2020 | WWW | Graph Embedding with Personalized Context Distribution. | Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan |
| 2019 | AAAI | Kernelized Hashcode Representations for Relation Extraction. | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao |
| 2019 | AISTATS | Auto-Encoding Total Correlation Explanation. | Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan |
| 2019 | CoNLL | Deep Structured Neural Network for Event Temporal Relation Extraction. | Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, Nanyun Peng |
| 2019 | EMNLP | Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi |
| 2019 | ICML | MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. | Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan |
| 2019 | IJCAI | SAGE: A Hybrid Geopolitical Event Forecasting System. | Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrs Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas |
| 2019 | SDM | Coupled Clustering of Time-Series and Networks. | Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra |
| 2018 | IJCAI | Dialogue Modeling Via Hash Functions. | Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan |
| 2018 | WWW | From | Fred Morstatter, Yunqiu Shao, Aram Galstyan, Shanika Karunasekera |
| 2018 | UAI | A Forest Mixture Bound for Block-Free Parallel Inference. | Neal Lawton, Greg Ver Steeg, Aram Galstyan |
| 2017 | ICDE | Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract). | Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan |
| 2017 | IJCAI | Sifting Common Information from Many Variables. | Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan |
| 2016 | AAAI | Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text. | Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu |
| 2016 | ACL | Modeling Concept Dependencies in a Scientific Corpus. | Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, Gully Burns |
| 2016 | ICML | The Information Sieve. | Greg Ver Steeg, Aram Galstyan |
| 2016 | WWW | Latent Space Model for Multi-Modal Social Data. | Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan |
| 2015 | AISTATS | Efficient Estimation of Mutual Information for Strongly Dependent Variables. | Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2015 | AISTATS | Maximally Informative Hierarchical Representations of High-Dimensional Data. | Greg Ver Steeg, Aram Galstyan |
| 2015 | MICCAI | Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly. | Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M. Thompson |
| 2015 | UAI | Estimating Mutual Information by Local Gaussian Approximation. | Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2014 | AAAI | Where and Why Users "Check In". | Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan |
| 2014 | ICML | Demystifying Information-Theoretic Clustering. | Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo |
| 2014 | SIGMOD | Tripartite graph clustering for dynamic sentiment analysis on social media. | Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman |
| 2013 | AISTATS | Statistical Tests for Contagion in Observational Social Network Studies. | Greg Ver Steeg, Aram Galstyan |
| 2013 | ICWSM | Sentiment Prediction Using Collaborative Filtering. | Jihie Kim, Jae-Bong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram Galstyan |
| 2013 | WSDM | Information-theoretic measures of influence based on content dynamics. | Greg Ver Steeg, Aram Galstyan |
| 2012 | AAMAS | Adaptive agents on evolving networks. | Ardeshir Kianercy, Aram Galstyan, Armen E. Allahverdyan |
| 2012 | WWW | Information transfer in social media. | Greg Ver Steeg, Aram Galstyan |
| 2011 | AAAI | Co-Evolution of Selection and Influence in Social Networks. | Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan |
| 2011 | ICWSM | Social Mechanics: An Empirically Grounded Science of Social Media. | Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg |
| 2011 | UAI | A Sequence of Relaxation Constraining Hidden Variable Models. | Greg Ver Steeg, Aram Galstyan |
| 2011 | UAI | Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs (Abstract). | Greg Ver Steeg, Aram Galstyan, Armen E. Allahverdyan |
| 2009 | IROS | TENTACLES: Self-configuring robotic radio networks in unknown environments. | Harris Chi Ho Chiu, Bo Ryu, Hua Zhu, Pedro A. Szekely, Rajiv T. Maheswaran, Craig Milo Rogers, Aram Galstyan, Behnam Salemi, Michael Rubenstein, Wei-Min Shen |
| 2009 | UAI | On Maximum a Posteriori Estimation of Hidden Markov Processes. | Armen E. Allahverdyan, Aram Galstyan |
| 2007 | ILP | Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification. | Aram Galstyan, Paul R. Cohen |
| 2006 | FUSION | Relational Classification Through Three-State Epidemic Dynamics. | Aram Galstyan, Paul R. Cohen |
| 2006 | ISI | Iterative Relational Classification Through Three-State Epidemic Dynamics. | Aram Galstyan, Paul R. Cohen |
| 2005 | IJCAI | Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. | Aram Galstyan, Paul R. Cohen |
| 2003 | IROS | Macroscopic analysis of adaptive task allocation in robots. | Kristina Lerman, Aram Galstyan |