activity
20202026
most citedThe unequal effects of the health-economy tradeoff during the COVID-19 pandemic

8 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models

Moritz Laber, Zohair Shafi, Germans Savcisens +6

Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficien…

cs.CL2025

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA

Haozhou Xu, Dongxia Wu, Matteo Chinazzi +3

Large Language Models (LLMs) show promise in generating long-form scientific explanations that synthesize evidence and connect multiple factors. However, in long-form scientific qu…

cs.LG2023★ 2 cited

Disentangled Multi-Fidelity Deep Bayesian Active Learning

Dongxia Wu, Ruijia Niu, Matteo Chinazzi +2

To balance quality and cost, various domain areas of science and engineering run simulations at multiple levels of sophistication. Multi-fidelity active learning aims to learn a di…

physics.soc-ph2022★ 4 cited

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe +13

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…

econ.GN2022★ 8 cited

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

Marco Pangallo, Alberto Aleta, R. Maria del Rio Chanona +9

The potential tradeoff between health outcomes and economic impact has been a major challenge in the policy making process during the COVID-19 pandemic. Epidemic-economic models de…

cs.LG2021★ 2 cited

Deep Bayesian Active Learning for Accelerating Stochastic Simulation

Dongxia Wu, Ruijia Niu, Matteo Chinazzi +3

Stochastic simulations such as large-scale, spatiotemporal, age-structured epidemic models are computationally expensive at fine-grained resolution. While deep surrogate models can…

stat.AP2020

An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time

Nicole E. Kogan, Leonardo Clemente, Parker Liautaud +14

Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased re-opening of the US amid stil…