7 citations · 18 across the 9 of their papers we have counts for
9 papers
Opinion Dynamics with Multiple Adversaries
Akhil Jalan, Marios Papachristou
Opinion dynamics models how the publicly expressed opinions of users in a social network coevolve according to their neighbors as well as their own intrinsic opinion. Motivated by…
Network Formation and Dynamics Among Multi-LLMs
Marios Papachristou, Yuan Yuan
Social networks profoundly influence how humans form opinions, exchange information, and organize collectively. As large language models (LLMs) are increasingly embedded into socia…
Differentially Private Distributed Inference for Multicenter Clinical Studies
Marios Papachristou, M. Amin Rahimian
Extracting reliable conclusions from data distributed across institutions is a core problem in healthcare: pooling patient records would improve inference, but privacy regulations…
Leveraging Large Language Models for Collective Decision-Making
Marios Papachristou, Longqi Yang, Chin-Chia Hsu
In various work contexts, such as meeting scheduling, collaborating, and project planning, collective decision-making is essential but often challenging due to diverse individual p…
Differentially Private Distributed Estimation and Learning
Marios Papachristou, M. Amin Rahimian
We study distributed estimation and learning problems in a networked environment where agents exchange information to estimate unknown statistical properties of random variables fr…
Structural Measures of Resilience for Supply Chains
Marios Papachristou, M. Amin Rahimian, Arash Azadegan
Modern production systems are increasingly defined by dense networks of multi-tier sourcing dependencies, where localized upstream disruptions can cascade into system-wide collapse…
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Marios Papachristou, Rishab Goel, Frank Portman +2
In graph learning, there have been two predominant inductive biases regarding graph-inspired architectures: On the one hand, higher-order interactions and message passing work well…
Stochastic Opinion Dynamics for Interest Prediction in Social Networks
Marios Papachristou, Dimitris Fotakis
We exploit the core-periphery structure and the strong homophilic properties of online social networks to develop faster and more accurate algorithms for user interest prediction.…
Designing and Building a Three-dimensional Projective Scanner for Smartphones
Marios Papachristou
One of the frustrating things in the digital fabrication era is that its media are neither affordable nor easily accessible and usable. Three-dimensional (3D) fabrication media (DF…