Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution. - M. Benjamin Sabath; Qian Di; Danielle Braun; Joel Schwartz; Francesca Dominici; Christine Choirat (DSAA, 2018)

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors. - Fei Jiang; Guosheng Yin; Francesca Dominici (NeurIPS, 2018)

aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution. - M. Benjamin Sabath; Qian Di; Danielle Braun; Francesca Dominici; Christine Choirat (CoRR, 2018)

All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously. - Aaron Fisher; Cynthia Rudin; Francesca Dominici (J. Mach. Learn. Res., 2019)

Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions. - Fei Jiang; Guosheng Yin; Francesca Dominici (ACM Trans. Knowl. Discov. Data, 2019)

Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States. - Tanujit Dey; Jaechoul Lee; Sounak Chakraborty; Jay Chandra; Anushka Bhaskar; Kenneth Zhang; Anchal Bhaskar; Francesca Dominici (Patterns, 2021)

Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US. - Mauricio Tec; Oladimeji Mudele; Kevin Josey; Francesca Dominici (CoRR, 2023)

Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning. - Ellen M. Considine; Rachel C. Nethery; Gregory A. Wellenius; Francesca Dominici; Mauricio Tec (CoRR, 2023)

SpaCE: The Spatial Confounding Environment. - Mauricio Tec; Ana Trisovic; Michelle Audirac; Sophie Woodward; Jie Kate Hu; Naeem Khoshnevis; Francesca Dominici (ICLR, 2024)

Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US. - Mauricio Tec; Kevin Josey; Oladimeji Mudele; Francesca Dominici (KDD, 2024)

Towards a Health-Based Power Grid Optimization in the Artificial Intelligence Era. - Claudio Battiloro; Gianluca Guidi; Falco J. Bargagli Stoffi; Francesca Dominici (CoRR, 2024)

Environmental Burden of United States Data Centers in the Artificial Intelligence Era. - Gianluca Guidi; Francesca Dominici; Jonathan Gilmour; Kevin Butler; Eric Bell; Scott Delaney; Falco J. Bargagli Stoffi (CoRR, 2024)

Air quality disparities mapper: An open-source web application for environmental justice. - Ethan McFarlin; Falco J. Bargagli Stoffi; Edgar Castro; Joel Schwartz; Francesca Dominici; Heresh Amini (Environ. Model. Softw., 2024)

Optimizing Heat Alert Issuance with Reinforcement Learning. - Ellen M. Considine; Rachel C. Nethery; Gregory A. Wellenius; Francesca Dominici; Mauricio Tec (AAAI, 2025)

Higher-Order Topological Directionality and Directed Simplicial Neural Networks. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Elvin Isufi; Claudio Battiloro (ICASSP, 2025)

E(n) Equivariant Topological Neural Networks. - Claudio Battiloro; Ege Karaismailoglu; Mauricio Tec; George Dasoulas; Michelle Audirac; Francesca Dominici (ICLR, 2025)

Quantum Simplicial Neural Networks. - Simone Piperno; Claudio Battiloro; Andrea Ceschini; Francesca Dominici; Paolo Di Lorenzo; Massimo Panella (CoRR, 2025)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents. - Mauricio Tec; Guojun Xiong; Haichuan Wang; Francesca Dominici; Milind Tambe (CoRR, 2025)

Artificial intelligence for modelling infectious disease epidemics. - Moritz U. G. Kraemer; Joseph L.-H. Tsui; Serina Chang; Spyros Lytras; Mark P. Khurana; Samantha Vanderslott; Sumali Bajaj; Neil Scheidwasser; Jacob Liam Curran-Sebastian; Elizaveta Semenova; Mengyan Zhang; H. Juliette T. Unwin; et al. (Nat., 2025)

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Ran Levi; Alessio Del Bue; Elvin Isufi; Pietro Morerio; Claudio Battiloro (CoRR, 2025)