3 papers
cs.LG2026
Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
Jiahao Wang, Yijun Wang, Nan Fang +1
Bayesian methodologies for handling count-valued time series have gained prominence due to their ability to infer interpretable latent structures and to estimate uncertainties. Amo…
cs.AI2026
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
Chunzheng Zhu, Lei Tian, Bohan Tan +15
The growing ability of large language models and vision-language models to jointly interpret and reason over images and text is reshaping medical imaging AI, moving it from task-sp…
cs.LG2026
Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
Nan Fang, Yijun Wang, Hao Liao +1
Dynamic knowledge graphs are ubiquitous in today's AI applications, as we represent molecular structures, social relationships, and language information using these graph models. A…