activity
20192026
most citedProtect Your Score: Contact Tracing With Differential Privacy Guarantees

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Private PoEtry: Private In-Context Learning via Product of Experts

Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit +3

In-context learning (ICL) enables Large Language Models (LLMs) to adapt to new tasks with only a small set of examples at inference time, thereby avoiding task-specific fine-tuning…

cs.LG2025

Adaptive Mesh-Quantization for Neural PDE Solvers

Winfried van den Dool, Maksim Zhdanov, Yuki M. Asano +1

Physical systems commonly exhibit spatially varying complexity, presenting a significant challenge for neural PDE solvers. While Graph Neural Networks can handle the irregular mesh…

cs.LG2024

DNA: Differentially private Neural Augmentation for contact tracing

Rob Romijnders, Christos Louizos, Yuki M. Asano +1

The COVID19 pandemic had enormous economic and societal consequences. Contact tracing is an effective way to reduce infection rates by detecting potential virus carriers early. How…

cs.CR2023★ 1 cited

Protect Your Score: Contact Tracing With Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki M. Asano +1

The pandemic in 2020 and 2021 had enormous economic and societal consequences, and studies show that contact tracing algorithms can be key in the early containment of the virus. Wh…

econ.GN2019

Emergent inequality and endogenous dynamics in a simple behavioral macroeconomic model

Yuki M. Asano, Jakob J. Kolb, Jobst Heitzig +1

Standard macroeconomic models assume that households are rational in the sense that they are perfect utility maximizers, and explain economic dynamics in terms of shocks that drive…