Aram Galstyan

308 papers A* 33A 28B 5C 3Misc 2Journal 163Unranked 72
YearRankTypeTitle / Venue / Authors
2025 A* conf
Accelerated Test-Time Scaling with Model-Free Speculative Sampling.
EMNLP
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
Accelerated Test-Time Scaling with Model-Free Speculative Sampling.
CoRR
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers.
CoRR
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
2025 — conf
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval.
EMNLP (Findings)
Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025 J jnl
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval.
CoRR
Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025 J jnl
K-Edit: Language Model Editing with Contextual Knowledge Awareness.
CoRR
Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2025 J jnl
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs.
CoRR
Elan Markowitz, Krupa Galiya, Greg Ver Steeg, Aram Galstyan
2025 J jnl
Kaleidoscopic Teaming in Multi Agent Simulations.
CoRR
Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2025 Misc conf
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application.
ICASSP
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Zheng Chen, Greg Ver Steeg, Aram Galstyan
2025 J jnl
Making Sense Of Distributed Representations With Activation Spectroscopy.
CoRR
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2025 — conf
Mamba Drafters for Speculative Decoding.
EMNLP (Findings)
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 J jnl
Mamba Drafters for Speculative Decoding.
CoRR
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 — conf
On Localizing and Deleting Toxic Memories in Large Language Models.
NAACL (Findings)
Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2025 A* conf
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins.
ICLR
Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan
2025 — conf
Think Clearly: Improving Reasoning via Redundant Token Pruning.
EMNLP (Findings)
Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
Think Clearly: Improving Reasoning via Redundant Token Pruning.
CoRR
Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 — conf
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
ACL (Findings)
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025 J jnl
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
CoRR
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025 — conf
Wanda++: Pruning Large Language Models via Regional Gradients.
ACL (Findings)
Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2025 J jnl
Wanda++: Pruning Large Language Models via Regional Gradients.
CoRR
Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2024 J jnl
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning.
CoRR
Sullam Jeoung, Goeric Huybrechts, Bhavana Ganesh, Aram Galstyan, Sravan Bodapati
2024 — conf
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain.
LREC/COLING
Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan
2024 — conf
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
EMNLP (Findings)
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 J jnl
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
CoRR
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 — conf
Contrastive Instruction Tuning.
ACL (Findings)
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
2024 J jnl
Contrastive Instruction Tuning.
CoRR
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
2024 — conf
Correcting Language Model Outputs by Editing Salient Layers.
EACL (Findings)
Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar
2024 A* conf
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
EMNLP
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
CoRR
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 — conf
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding.
CLeaR
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter
2024 A* conf
FLIRT: Feedback Loop In-context Red Teaming.
EMNLP
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024 J jnl
Hybrid Forecasting of Geopolitical Events.
CoRR
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
2024 J jnl
Learning Morphisms with Gauss-Newton Approximation for Growing Networks.
CoRR
Neal Lawton, Aram Galstyan, Greg Ver Steeg
2024 — conf
Leveraging LLMs for Dialogue Quality Measurement.
NAACL (Industry Track)
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
2024 J jnl
Leveraging LLMs for Dialogue Quality Measurement.
CoRR
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
2024 — conf
MICo: Preventative Detoxification of Large Language Models through Inhibition Control.
NAACL-HLT (Findings)
Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan
2024 A conf
Policy Learning for Localized Interventions from Observational Data.
AISTATS
Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg
2024 — conf
Prompt Perturbation Consistency Learning for Robust Language Models.
EACL (Findings)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2024 J jnl
Prompt Perturbation Consistency Learning for Robust Language Models.
CoRR
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2024 — conf
QuAILoRA: Quantization-Aware Initialization for LoRA.
ENLSP
Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
2024 J jnl
QuAILoRA: Quantization-Aware Initialization for LoRA.
CoRR
Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
2024 J jnl
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins.
CoRR
Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan
2024 — conf
The steerability of large language models toward data-driven personas.
NAACL-HLT
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2024 — conf
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies.
NAACL-HLT (Findings)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
2024 — conf
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
ACL (1)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
CoRR
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2023 — conf
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
FAccT
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 J jnl
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
CoRR
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 — conf
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.
ACL (1)
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
2023 J jnl
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.
CoRR
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
2023 J jnl
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.
CoRR
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023 — conf
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain.
MLCN@MICCAI
Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad
2023 A* conf
Cognitively Inspired Learning of Incremental Drifting Concepts.
IJCAI
Mohammad Rostami, Aram Galstyan
2023 — conf
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations.
EMNLP (Findings)
Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
2023 J jnl
FLIRT: Feedback Loop In-context Red Teaming.
CoRR
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 — conf
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding.
EMNLP (Industry Track)
Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan
2023 J jnl
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion.
CoRR
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
2023 — conf
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion.
ACL (Findings)
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
2023 J jnl
Hybrid forecasting of geopolitical events
AI Mag.
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
2023 A conf
Incorporating Fairness in Large Scale NLU Systems.
WSDM
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
2023 J jnl
JAB: Joint Adversarial Prompting and Belief Augmentation.
CoRR
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 — conf
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning.
ACL (Findings)
Umang Gupta, Aram Galstyan, Greg Ver Steeg
2023 J jnl
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning.
CoRR
Umang Gupta, Aram Galstyan, Greg Ver Steeg
2023 — conf
Measuring and Mitigating Local Instability in Deep Neural Networks.
ACL (Findings)
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
2023 J jnl
Measuring and Mitigating Local Instability in Deep Neural Networks.
CoRR
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
2023 J jnl
Multi-Task Knowledge Enhancement for Zero-Shot and Multi-Domain Recommendation in an AI Assistant Application.
CoRR
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Tony Chen, Greg Ver Steeg, Aram Galstyan
2023 — conf
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models.
ACL (Findings)
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
2023 J jnl
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models.
CoRR
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
2023 J jnl
On the steerability of large language models toward data-driven personas.
CoRR
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 A* conf
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions.
AAAI
Mohammad Rostami, Aram Galstyan
2023 — conf
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
ACL (1)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 J jnl
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
CoRR
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 A conf
Partial identification of dose responses with hidden confounders.
UAI
Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg
2023 — conf
Resolving Ambiguities in Text-to-Image Generative Models.
ACL (1)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023 — conf
StATIK+: Structure and Text for Inductive Knowledge Graph Modeling and Paths towards Enterprise Implementations.
EKG-LLM@CIKM
Elan Sopher Markowitz, Aram Galstyan
2023 A conf
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.
CIKM
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023 J jnl
Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding.
CoRR
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter
2023 — conf
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs.
ACL (industry)
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
2023 J jnl
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs.
CoRR
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
2022 J jnl
A Metric Space for Point Process Excitations.
J. Artif. Intell. Res.
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
2022 J jnl
A Survey on Bias and Fairness in Machine Learning.
ACM Comput. Surv.
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
2022 — conf
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
SLT
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022 J jnl
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
CoRR
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022 J jnl
Bounding the Effects of Continuous Treatments for Hidden Confounders.
CoRR
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
2022 — conf
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations.
ACL (1)
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
2022 J jnl
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations.
CoRR
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
2022 A* conf
Failure Modes of Domain Generalization Algorithms.
CVPR
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
2022 B conf
Formal limitations of sample-wise information-theoretic generalization bounds.
ITW
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
2022 J jnl
Formal limitations of sample-wise information-theoretic generalization bounds.
CoRR
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
2022 J jnl
Identifying geopolitical event precursors using attention-based LSTMs.
Frontiers Artif. Intell.
K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
2022 J jnl
Inferring topological transitions in pattern-forming processes with self-supervised learning.
CoRR
Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Rémi Dingreville
2022 J jnl
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.
CoRR
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022 A conf
Learning Under Label Noise for Robust Spoken Language Understanding systems.
INTERSPEECH
Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan
2022 — conf
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
ACL (Findings)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022 J jnl
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
CoRR
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022 — conf
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
ACL (2)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022 J jnl
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
CoRR
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022 — conf
Robust Conversational Agents against Imperceptible Toxicity Triggers.
NAACL-HLT
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
2022 J jnl
Robust Conversational Agents against Imperceptible Toxicity Triggers.
CoRR
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
2022 — conf
StATIK: Structure and Text for Inductive Knowledge Graph Completion.
NAACL-HLT (Findings)
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
2022 — conf
Temporal Generalization for Spoken Language Understanding.
NAACL-HLT (Industry Papers)
Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
2022 — conf
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
EMNLP (Findings)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2022 J jnl
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
CoRR
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2021 J jnl
Attributing Fair Decisions with Attention Interventions.
CoRR
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Bin2vec: learning representations of binary executable programs for security tasks.
Cybersecur.
Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan
2021 J jnl
Cognitively Inspired Learning of Incremental Drifting Concepts.
CoRR
Mohammad Rostami, Aram Galstyan
2021 — conf
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation.
NAACL-HLT (Demonstrations)
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
2021 J jnl
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation.
CoRR
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
2021 J jnl
Discovering Higher-Order Interactions Through Neural Information Decomposition.
Entropy
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation.
CoRR
Mohammad Rostami, Aram Galstyan
2021 A* conf
Exacerbating Algorithmic Bias through Fairness Attacks.
AAAI
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
2021 J jnl
Failure Modes of Domain Generalization Algorithms.
CoRR
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Fast Graph Learning with Unique Optimal Solutions.
CoRR
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 — conf
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data.
ACL/IJCNLP (1)
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
2021 A* conf
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.
ICLR
Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.
CoRR
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021 A* conf
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling.
NeurIPS
Greg Ver Steeg, Aram Galstyan
2021 J jnl
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling.
CoRR
Greg Ver Steeg, Aram Galstyan
2021 J jnl
Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
IEEE Trans. Comput. Soc. Syst.
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs.
CoRR
Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan
2021 A* conf
Implicit SVD for Graph Representation Learning.
NeurIPS
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Implicit SVD for Graph Representation Learning.
CoRR
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 A conf
Influence Decompositions For Neural Network Attribution.
AISTATS
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2021 A* conf
Information-theoretic generalization bounds for black-box learning algorithms.
NeurIPS
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Information-theoretic generalization bounds for black-box learning algorithms.
CoRR
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
2021 — conf
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.
EMNLP (1)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
2021 J jnl
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.
CoRR
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
2021 C conf
Layer-Wise Neural Network Compression via Layer Fusion.
ACML
James O'Neill, Greg Ver Steeg, Aram Galstyan
2021 A conf
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization.
WACV
Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed
2021 — conf
One-shot Learning for Temporal Knowledge Graphs.
AKBC
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
2021 A* conf
Partner-Assisted Learning for Few-Shot Image Classification.
ICCV
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
2021 J jnl
Partner-Assisted Learning for Few-Shot Image Classification.
CoRR
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
2021 — conf
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation.
NAACL-HLT
Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
2021 J jnl
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation.
CoRR
Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
2021 J jnl
q-Paths: Generalizing the Geometric Annealing Path using Power Means.
CoRR
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2021 A conf
q-Paths: Generalizing the geometric annealing path using power means.
UAI
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2020 A* conf
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
ICML
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020 J jnl
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
CoRR
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020 A conf
Anchor Attention for Hybrid Crowd Forecasts Aggregation.
AAMAS
Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan
2020 J jnl
Anchor Attention for Hybrid Crowd Forecasts Aggregation.
CoRR
Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan
2020 J jnl
Annealed Importance Sampling with q-Paths.
CoRR
Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen
2020 J jnl
Compressing Deep Neural Networks via Layer Fusion.
CoRR
James O'Neill, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Event Cartography: Latent Point Process Embeddings.
CoRR
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Exacerbating Algorithmic Bias through Fairness Attacks.
CoRR
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
2020 — conf
Graph Embedding with Personalized Context Distribution.
WWW (Companion Volume)
Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan
2020 J jnl
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights.
CoRR
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 A* conf
Improving generalization by controlling label-noise information in neural network weights.
ICML
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms.
CoRR
Akira Matsui, Emilio Ferrara, Fred Morstatter, Andrés Abeliuk, Aram Galstyan
2020 J jnl
Likelihood Ratio Exponential Families.
CoRR
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
2020 J jnl
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization.
CoRR
Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed
2020 — conf
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.
HT
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan
2020 J jnl
Maximizing Multivariate Information With Error-Correcting Codes.
IEEE Trans. Inf. Theory
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 A* conf
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.
AAAI
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2020 J jnl
One-shot Learning for Temporal Knowledge Graphs.
CoRR
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
2020 A* conf
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems.
AAAI
Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
2020 J jnl
Robust Classification under Class-Dependent Domain Shift.
CoRR
Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Sequential Unsupervised Domain Adaptation through Prototypical Distributions.
CoRR
Mohammad Rostami, Aram Galstyan
2020 J jnl
Stacking models for nearly optimal link prediction in complex networks.
Proc. Natl. Acad. Sci. USA
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset
2020 J jnl
Towards Learning Representations of Binary Executable Files for Security Tasks.
CoRR
Shushan Arakelyan, Christophe Hauser, Erik Kline, Aram Galstyan
2019 J jnl
A Survey on Bias and Fairness in Machine Learning.
CoRR
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
2019 A conf
Auto-Encoding Total Correlation Explanation.
AISTATS
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2019 J jnl
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings.
CoRR
Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng
2019 — conf
BioRelEx 1.0: Biological Relation Extraction Benchmark.
BioNLP@ACL
Hrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan, Tigran Galstyan, Anna Hakobyan, Arsen Arakelyan, Andrey Rzhetsky, Aram Galstyan
2019 A conf
Coupled Clustering of Time-Series and Networks.
SDM
Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra
2019 J jnl
Debiasing Community Detection: The Importance of Lowly-Connected Nodes.
CoRR
Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan
2019 B conf
Debiasing community detection: the importance of lowly connected nodes.
ASONAM
Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan
2019 B conf
Deep Structured Neural Network for Event Temporal Relation Extraction.
CoNLL
Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, Nanyun Peng
2019 J jnl
Deep Structured Neural Network for Event Temporal Relation Extraction.
CoRR
Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, Nanyun Peng
2019 J jnl
Efficient Covariance Estimation from Temporal Data.
CoRR
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
2019 A* conf
Exact Rate-Distortion in Autoencoders via Echo Noise.
NeurIPS
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2019 J jnl
Exact Rate-Distortion in Autoencoders via Echo Noise.
CoRR
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2019 A* conf
Fast structure learning with modular regularization.
NeurIPS
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
2019 J jnl
Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
CoRR
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
2019 A* conf
Kernelized Hashcode Representations for Relation Extraction.
AAAI
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
2019 J jnl
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.
CoRR
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan
2019 A* conf
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
ICML
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
2019 J jnl
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
CoRR
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan
2019 — conf
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction.
EMNLP/IJCNLP (1)
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
2019 J jnl
Nearly-Unsupervised Hashcode Representations for Relation Extraction.
CoRR
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
2019 J jnl
Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems.
CoRR
Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
2019 A* conf
SAGE: A Hybrid Geopolitical Event Forecasting System.
IJCAI
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés 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 J jnl
Stacking Models for Nearly Optimal Link Prediction in Complex Networks.
CoRR
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset
2018 A conf
A Forest Mixture Bound for Block-Free Parallel Inference.
UAI
Neal Lawton, Greg Ver Steeg, Aram Galstyan
2018 J jnl
A Forest Mixture Bound for Block-Free Parallel Inference.
CoRR
Neal Lawton, Aram Galstyan, Greg Ver Steeg
2018 J jnl
Adaptive decision making via entropy minimization.
Int. J. Approx. Reason.
Armen E. Allahverdyan, Aram Galstyan, Ali E. Abbas, Zbigniew R. Struzik
2018 J jnl
Adaptive prior probabilities via optimization of risk and entropy.
CoRR
Armen E. Allahverdyan, Aram Galstyan, Ali E. Abbas, Zbigniew R. Struzik
2018 J jnl
Auto-Encoding Total Correlation Explanation.
CoRR
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2018 J jnl
Capturing Edge Attributes via Network Embedding.
CoRR
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 J jnl
Capturing Edge Attributes via Network Embedding.
IEEE Trans. Comput. Soc. Syst.
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 — conf
Dialogue Modeling Via Hash Functions.
LaCATODA@IJCAI
Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
2018 — conf
Embedding Networks with Edge Attributes.
HT
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 J jnl
Evading the Adversary in Invariant Representation.
CoRR
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2018 — conf
From
WWW (Companion Volume)
Fred Morstatter, Yunqiu Shao, Aram Galstyan, Shanika Karunasekera
2018 A* conf
Invariant Representations without Adversarial Training.
NeurIPS
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg
2018 J jnl
Maximizing Multivariate Information with Error-Correcting Codes.
CoRR
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2018 — conf
Mining and Forecasting Career Trajectories of Music Artists.
HT
Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan
2018 J jnl
Mining and Forecasting Career Trajectories of Music Artists.
CoRR
Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan
2018 J jnl
Stochastic Learning of Nonstationary Kernels for Natural Language Modeling.
CoRR
Sahil Garg, Greg Ver Steeg, Aram Galstyan
2017 J jnl
Disentangled Representations via Synergy Minimization.
CoRR
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
2017 — conf
Disentangled representations via synergy minimization.
Allerton
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
2017 J jnl
Efficient Representation for Natural Language Processing via Kernelized Hashcodes.
CoRR
Sahil Garg, Aram Galstyan, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
2017 J jnl
Emergence of Leadership in Communication.
CoRR
Armen E. Allahverdyan, Aram Galstyan
2017 J jnl
Low Complexity Gaussian Latent Factor Models and a Blessing of Dimensionality.
CoRR
Greg Ver Steeg, Aram Galstyan
2017 J jnl
Memory-induced mechanism for self-sustaining activity in networks.
CoRR
Armen E. Allahverdyan, Greg Ver Steeg, Aram Galstyan
2017 J jnl
Multitask Learning and Benchmarking with Clinical Time Series Data.
CoRR
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Aram Galstyan
2017 A* conf
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).
ICDE
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
2017 A* conf
Sifting Common Information from Many Variables.
IJCAI
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
2017 J jnl
Unifying Local and Global Change Detection in Dynamic Networks.
CoRR
Wenzhe Li, Dong Guo, Greg Ver Steeg, Aram Galstyan
2016 A* conf
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text.
AAAI
Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu
2016 A* conf
Latent Space Model for Multi-Modal Social Data.
WWW
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan
2016 — conf
Modeling Concept Dependencies in a Scientific Corpus.
ACL (1)
Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, Gully Burns
2016 — conf
Predicting Online Extremism, Content Adopters, and Interaction Reciprocity.
SocInfo (2)
Emilio Ferrara, Wen-Qiang Wang, Onur Varol, Alessandro Flammini, Aram Galstyan
2016 J jnl
Predicting online extremism, content adopters, and interaction reciprocity.
CoRR
Emilio Ferrara, Wen-Qiang Wang, Onur Varol, Alessandro Flammini, Aram Galstyan
2016 B conf
Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly.
Image Processing
Sarah K. Madsen, Greg Ver Steeg, Madelaine Daianu, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. Thompson
2016 J jnl
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks.
IEEE Trans. Knowl. Data Eng.
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
2016 J jnl
Sifting Common Information from Many Variables.
CoRR
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
2016 J jnl
The DARPA Twitter Bot Challenge.
Computer
V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer
2016 J jnl
The DARPA Twitter Bot Challenge.
CoRR
V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang
2016 A* conf
The Information Sieve.
ICML
Greg Ver Steeg, Aram Galstyan
2016 J jnl
Toward Interpretable Topic Discovery via Anchored Correlation Explanation.
CoRR
Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan
2016 — conf
Unsupervised Entity Resolution on Multi-type Graphs.
ISWC (1)
Linhong Zhu, Majid Ghasemi-Gol, Pedro A. Szekely, Aram Galstyan, Craig A. Knoblock
2016 — conf
Variational Information Maximization for Feature Selection.
NIPS
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2016 J jnl
Variational Information Maximization for Feature Selection.
CoRR
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2015 A conf
Efficient Estimation of Mutual Information for Strongly Dependent Variables.
AISTATS
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2015 A conf
Estimating Mutual Information by Local Gaussian Approximation.
UAI
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2015 J jnl
Estimating Mutual Information by Local Gaussian Approximation.
CoRR
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2015 J jnl
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text.
CoRR
Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu
2015 — conf
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly.
MCV@MICCAI
Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M. Thompson
2015 — conf
Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly.
ISBI
Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. Thompson
2015 J jnl
Latent Space Model for Multi-Modal Social Data.
CoRR
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan
2015 A conf
Maximally Informative Hierarchical Representations of High-Dimensional Data.
AISTATS
Greg Ver Steeg, Aram Galstyan
2015 J jnl
The Information Sieve.
CoRR
Greg Ver Steeg, Aram Galstyan
2014 J jnl
Active Inference for Binary Symmetric Hidden Markov Models.
CoRR
Armen E. Allahverdyan, Aram Galstyan
2014 A* conf
Demystifying Information-Theoretic Clustering.
ICML
Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo
2014 — conf
Discovering Structure in High-Dimensional Data Through Correlation Explanation.
NIPS
Greg Ver Steeg, Aram Galstyan
2014 J jnl
Discovering Structure in High-Dimensional Data Through Correlation Explanation.
CoRR
Greg Ver Steeg, Aram Galstyan
2014 J jnl
Efficient Estimation of Mutual Information for Strongly Dependent Variables.
CoRR
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2014 J jnl
Maximally Informative Hierarchical Representations of High-Dimensional Data.
CoRR
Greg Ver Steeg, Aram Galstyan
2014 — ch.
Mixed Membership Blockmodels for Dynamic Networks with Feedback.
Handbook of Mixed Membership Models and Their Applications
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2014 J jnl
Modeling Temporal Activity Patterns in Dynamic Social Networks.
IEEE Trans. Comput. Soc. Syst.
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G. Tartakovsky
2014 J jnl
Opinion Dynamics with Confirmation Bias.
CoRR
Armen E. Allahverdyan, Aram Galstyan
2014 J jnl
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization.
CoRR
Linhong Zhu, Greg Ver Steeg, Aram Galstyan
2014 J jnl
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media.
CoRR
Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman
2014 — conf
Tripartite graph clustering for dynamic sentiment analysis on social media.
SIGMOD Conference
Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman
2014 J jnl
Understanding confounding effects in linguistic coordination: an information-theoretic approach.
CoRR
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2014 A* conf
Where and Why Users "Check In".
AAAI
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2013 — ch.
Activation Cascades in Structured Populations.
Handbook of Human Computation
Aram Galstyan
2013 J jnl
Coevolutionary networks of reinforcement-learning agents.
CoRR
Ardeshir Kianercy, Aram Galstyan
2013 J jnl
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs.
CoRR
Armen E. Allahverdyan, Aram Galstyan
2013 J jnl
Continuous strategy replicator dynamics for multi-agent Q-learning.
Auton. Agents Multi Agent Syst.
Aram Galstyan
2013 — conf
Coupled hidden markov models for user activity in social networks.
ICME Workshops
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G. Tartakovsky
2013 J jnl
Demystifying Information-Theoretic Clustering.
CoRR
Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo
2013 A conf
Information-theoretic measures of influence based on content dynamics.
WSDM
Greg Ver Steeg, Aram Galstyan
2013 J jnl
Latent Point Process Models for Spatial-Temporal Networks
CoRR
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George E. Tita
2013 J jnl
Modeling Temporal Activity Patterns in Dynamic Social Networks
CoRR
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G. Tartakovsky
2013 J jnl
Phase Transitions in Community Detection: A Solvable Toy Model.
CoRR
Greg Ver Steeg, Cristopher Moore, Aram Galstyan, Armen E. Allahverdyan
2013 A conf
Sentiment Prediction Using Collaborative Filtering.
ICWSM
Jihie Kim, Jae-Bong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram Galstyan
2013 A conf
Statistical Tests for Contagion in Observational Social Network Studies.
AISTATS
Greg Ver Steeg, Aram Galstyan
2012 A conf
Adaptive agents on evolving networks.
AAMAS
Ardeshir Kianercy, Aram Galstyan, Armen E. Allahverdyan
2012 J jnl
Hidden Markov Models for the Activity Profile of Terrorist Groups
CoRR
Vasanthan Raghavan, Aram Galstyan, Alexander G. Tartakovsky
2012 J jnl
Inferring Predictive Links in Social Media Using Content Transfer
CoRR
Greg Ver Steeg, Aram Galstyan
2012 A* conf
Information transfer in social media.
WWW
Greg Ver Steeg, Aram Galstyan
2012 J jnl
Statistical Tests for Contagion in Observational Social Network Studies
CoRR
Greg Ver Steeg, Aram Galstyan
2011 A conf
A Sequence of Relaxation Constraining Hidden Variable Models.
UAI
Greg Ver Steeg, Aram Galstyan
2011 J jnl
A Sequence of Relaxations Constraining Hidden Variable Models
CoRR
Greg Ver Steeg, Aram Galstyan
2011 A* conf
Co-Evolution of Selection and Influence in Social Networks.
AAAI
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2011 J jnl
Co-evolution of Selection and Influence in Social Networks
CoRR
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2011 — conf
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs.
NIPS
Armen E. Allahverdyan, Aram Galstyan
2011 J jnl
Dynamics of Softmax Q-Learning in Two-Player Two-Action Games
CoRR
Ardeshir Kianercy, Aram Galstyan
2011 J jnl
Information Transfer in Social Media
CoRR
Greg Ver Steeg, Aram Galstyan
2011 J jnl
Replicator Dynamics of Co-Evolving Networks
CoRR
Aram Galstyan, Ardeshir Kianercy, Armen E. Allahverdyan
2011 — conf
Social Mechanics: An Empirically Grounded Science of Social Media.
The Future of the Social Web
Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg
2011 J jnl
Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs
CoRR
Aram Galstyan, Greg Ver Steeg, Armen E. Allahverdyan
2011 A conf
Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs (Abstract).
UAI
Greg Ver Steeg, Aram Galstyan, Armen E. Allahverdyan
2010 — conf
Replicator Dynamics of Coevolving Networks.
AAAI Fall Symposium: Complex Adaptive Systems
Aram Galstyan, Ardeshir Kianercy, Armen E. Allahverdyan
2009 J jnl
Community Detection with and without Prior Information
CoRR
Armen E. Allahverdyan, Aram Galstyan
2009 J jnl
Continuous Strategy Replicator Dynamics for Multi-Agent Learning.
CoRR
Aram Galstyan
2009 J jnl
Maximizing Influence Propagation in Networks with Community Structure
CoRR
Aram Galstyan, Vahe L. Musoyan, Paul R. Cohen
2009 J jnl
On Maximum a Posteriori Estimation of Hidden Markov Processes
CoRR
Armen E. Allahverdyan, Aram Galstyan
2009 A conf
On Maximum a Posteriori Estimation of Hidden Markov Processes.
UAI
Armen E. Allahverdyan, Aram Galstyan
2009 A conf
TENTACLES: Self-configuring robotic radio networks in unknown environments.
IROS
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
2008 J jnl
Analysis of Social Voting Patterns on Digg
CoRR
Kristina Lerman, Aram Galstyan
2008 — conf
Analysis of social voting patterns on digg.
WOSN
Kristina Lerman, Aram Galstyan
2008 — conf
Comparing Diffusion Models for Graph-Based Semi-Supervised Learning.
MLG@ICML
Aram Galstyan, Paul R. Cohen
2008 — conf
Influence Propagation in Modular Networks.
AAAI Spring Symposium: Social Information Processing
Aram Galstyan, Paul R. Cohen
2008 J jnl
Top-down vs bottom-up methodologies in multi-agent system design.
Auton. Robots
Valentino Crespi, Aram Galstyan, Kristina Lerman
2007 B conf
Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification.
ILP
Aram Galstyan, Paul R. Cohen
2006 J jnl
Analysis of Dynamic Task Allocation in Multi-Robot Systems
CoRR
Kristina Lerman, Chris V. Jones, Aram Galstyan, Maja J. Mataric
2006 J jnl
Analysis of Dynamic Task Allocation in Multi-Robot Systems.
Int. J. Robotics Res.
Kristina Lerman, Chris V. Jones, Aram Galstyan, Maja J. Mataric
2006 C conf
Iterative Relational Classification Through Three-State Epidemic Dynamics.
ISI
Aram Galstyan, Paul R. Cohen
2006 J jnl
Modeling and Mathematical Analysis of Swarms of Microscopic Robots
CoRR
Aram Galstyan, Tad Hogg, Kristina Lerman
2006 C conf
Relational Classification Through Three-State Epidemic Dynamics.
FUSION
Aram Galstyan, Paul R. Cohen
2005 A conf
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design.
AAMAS
Valentino Crespi, Aram Galstyan, Kristina Lerman
2005 A* conf
Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers.
IJCAI
Aram Galstyan, Paul R. Cohen
2005 — conf
Modeling and mathematical analysis of swarms of microscopic robots.
SIS
Aram Galstyan, Tad Hogg, Kristina Lerman
2005 J jnl
Resource Allocation in the Grid with Learning Agents.
J. Grid Comput.
Aram Galstyan, Karl Czajkowski, Kristina Lerman
2004 — conf
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems.
Swarm Robotics
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
2004 — conf
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots.
Engineering Self-Organising Systems
Aram Galstyan, Kristina Lerman
2004 — conf
Distributed online localization in sensor networks using a moving target.
IPSN
Aram Galstyan, Bhaskar Krishnamachari, Kristina Lerman, Sundeep Pattem
2004 J jnl
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms.
Auton. Robots
Wei-Min Shen, Peter M. Will, Aram Galstyan, Cheng-Ming Chuong
2004 J jnl
Mathematical Analysis of Multi-Agent Systems
CoRR
Kristina Lerman, Aram Galstyan, Tad Hogg
2004 A conf
Resource Allocation in the Grid Using Reinforcement Learning.
AAMAS
Aram Galstyan, Karl Czajkowski, Kristina Lerman
2003 A conf
Agent memory and adaptation in multi-agent systems.
AAMAS
Kristina Lerman, Aram Galstyan
2003 A conf
Macroscopic analysis of adaptive task allocation in robots.
IROS
Kristina Lerman, Aram Galstyan
2003 A conf
Resource allocation games with changing resource capacities.
AAMAS
Aram Galstyan, Shashikiran Kolar, Kristina Lerman
2003 Misc conf
Threshold Behavior in a Boolean Network Model for SAT.
IC-AI
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
2002 J jnl
Mathematical Model of Foraging in a Group of Robots: Effect of Interference.
Auton. Robots
Kristina Lerman, Aram Galstyan
2001 J jnl
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems.
Artif. Life
Kristina Lerman, Aram Galstyan, Alcherio Martinoli, Auke Jan Ijspeert